Future of Chiplet Technology in Quantum Computing
JUL 16, 20259 MIN READ
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Quantum Chiplet Evolution and Objectives
Quantum computing has emerged as a revolutionary technology with the potential to solve complex problems beyond the reach of classical computers. At the heart of this advancement lies the evolution of quantum chiplets, which are poised to play a crucial role in shaping the future of quantum computing systems.
The development of quantum chiplets can be traced back to the early 2000s when researchers began exploring ways to scale up quantum systems. Initially, the focus was on creating monolithic quantum processors, but as the complexity of quantum circuits increased, the limitations of this approach became apparent. This led to the concept of modular quantum computing, where smaller quantum units could be interconnected to form larger, more powerful systems.
The primary objective of quantum chiplet technology is to overcome the scalability challenges inherent in quantum computing. By breaking down complex quantum circuits into smaller, more manageable components, chiplets offer a pathway to building larger quantum systems while maintaining coherence and reducing error rates. This approach aligns with the broader goal of achieving quantum supremacy and developing practical quantum computers capable of solving real-world problems.
As the field progresses, several key objectives have emerged for quantum chiplet technology. One critical aim is to improve qubit connectivity and reduce crosstalk between qubits, which is essential for maintaining quantum coherence. Another objective is to enhance the integration of control and readout circuitry with the quantum processing units, enabling more efficient operation and reduced latency in quantum computations.
The evolution of quantum chiplets is closely tied to advancements in materials science and fabrication techniques. Researchers are exploring various materials and architectures to create more stable and scalable quantum chiplets. Superconducting circuits, trapped ions, and silicon-based qubits are among the leading contenders for quantum chiplet implementations, each with its own set of advantages and challenges.
Looking ahead, the future of quantum chiplet technology is focused on achieving higher qubit densities, improved coherence times, and enhanced error correction capabilities. The development of standardized interfaces for quantum chiplets is also a key objective, as it would facilitate the integration of chiplets from different manufacturers and accelerate the development of modular quantum systems.
As quantum chiplet technology continues to evolve, it is expected to play a pivotal role in realizing the full potential of quantum computing. The successful implementation of quantum chiplets could lead to breakthroughs in fields such as cryptography, drug discovery, financial modeling, and climate change prediction, revolutionizing industries and scientific research in the coming decades.
The development of quantum chiplets can be traced back to the early 2000s when researchers began exploring ways to scale up quantum systems. Initially, the focus was on creating monolithic quantum processors, but as the complexity of quantum circuits increased, the limitations of this approach became apparent. This led to the concept of modular quantum computing, where smaller quantum units could be interconnected to form larger, more powerful systems.
The primary objective of quantum chiplet technology is to overcome the scalability challenges inherent in quantum computing. By breaking down complex quantum circuits into smaller, more manageable components, chiplets offer a pathway to building larger quantum systems while maintaining coherence and reducing error rates. This approach aligns with the broader goal of achieving quantum supremacy and developing practical quantum computers capable of solving real-world problems.
As the field progresses, several key objectives have emerged for quantum chiplet technology. One critical aim is to improve qubit connectivity and reduce crosstalk between qubits, which is essential for maintaining quantum coherence. Another objective is to enhance the integration of control and readout circuitry with the quantum processing units, enabling more efficient operation and reduced latency in quantum computations.
The evolution of quantum chiplets is closely tied to advancements in materials science and fabrication techniques. Researchers are exploring various materials and architectures to create more stable and scalable quantum chiplets. Superconducting circuits, trapped ions, and silicon-based qubits are among the leading contenders for quantum chiplet implementations, each with its own set of advantages and challenges.
Looking ahead, the future of quantum chiplet technology is focused on achieving higher qubit densities, improved coherence times, and enhanced error correction capabilities. The development of standardized interfaces for quantum chiplets is also a key objective, as it would facilitate the integration of chiplets from different manufacturers and accelerate the development of modular quantum systems.
As quantum chiplet technology continues to evolve, it is expected to play a pivotal role in realizing the full potential of quantum computing. The successful implementation of quantum chiplets could lead to breakthroughs in fields such as cryptography, drug discovery, financial modeling, and climate change prediction, revolutionizing industries and scientific research in the coming decades.
Quantum Computing Market Analysis
The quantum computing market is experiencing rapid growth and attracting significant investment as the technology advances towards practical applications. Current estimates suggest that the global quantum computing market could reach $1.3 billion by 2023 and potentially exceed $10 billion by 2028, with a compound annual growth rate (CAGR) of over 30%. This growth is driven by increasing demand for high-performance computing solutions across various industries, including finance, healthcare, and cybersecurity.
The market landscape is characterized by a mix of established tech giants, specialized quantum computing startups, and research institutions. Major players like IBM, Google, and Microsoft are investing heavily in quantum technology development, while startups such as D-Wave Systems, Rigetti Computing, and IonQ are making significant strides in commercializing quantum systems.
Government initiatives and funding programs are playing a crucial role in market expansion. Countries like the United States, China, and several European nations have launched national quantum strategies, allocating substantial resources to research and development. This public sector support is complementing private investments and accelerating market growth.
In terms of industry applications, financial services are expected to be early adopters of quantum computing, particularly for complex risk analysis and portfolio optimization. The pharmaceutical and chemical industries are also showing keen interest, as quantum computing could potentially revolutionize drug discovery and materials science processes.
Hardware development remains a key focus area, with different quantum computing architectures competing for dominance. Superconducting qubits, trapped ions, and photonic systems are among the leading approaches, each with its own set of advantages and challenges. The market is also seeing growth in quantum software and services, including cloud-based quantum computing platforms that make the technology more accessible to a broader range of users.
Challenges facing the quantum computing market include the need for error correction and quantum coherence improvement, scalability issues, and the shortage of skilled quantum professionals. These factors are currently limiting the widespread adoption of quantum computing solutions. However, ongoing research and development efforts are steadily addressing these challenges, paving the way for more robust and practical quantum systems.
As the technology matures, the integration of quantum computing with classical computing systems is emerging as a significant trend. This hybrid approach allows organizations to leverage the strengths of both quantum and classical computing, potentially accelerating the adoption of quantum technologies in real-world applications.
The market landscape is characterized by a mix of established tech giants, specialized quantum computing startups, and research institutions. Major players like IBM, Google, and Microsoft are investing heavily in quantum technology development, while startups such as D-Wave Systems, Rigetti Computing, and IonQ are making significant strides in commercializing quantum systems.
Government initiatives and funding programs are playing a crucial role in market expansion. Countries like the United States, China, and several European nations have launched national quantum strategies, allocating substantial resources to research and development. This public sector support is complementing private investments and accelerating market growth.
In terms of industry applications, financial services are expected to be early adopters of quantum computing, particularly for complex risk analysis and portfolio optimization. The pharmaceutical and chemical industries are also showing keen interest, as quantum computing could potentially revolutionize drug discovery and materials science processes.
Hardware development remains a key focus area, with different quantum computing architectures competing for dominance. Superconducting qubits, trapped ions, and photonic systems are among the leading approaches, each with its own set of advantages and challenges. The market is also seeing growth in quantum software and services, including cloud-based quantum computing platforms that make the technology more accessible to a broader range of users.
Challenges facing the quantum computing market include the need for error correction and quantum coherence improvement, scalability issues, and the shortage of skilled quantum professionals. These factors are currently limiting the widespread adoption of quantum computing solutions. However, ongoing research and development efforts are steadily addressing these challenges, paving the way for more robust and practical quantum systems.
As the technology matures, the integration of quantum computing with classical computing systems is emerging as a significant trend. This hybrid approach allows organizations to leverage the strengths of both quantum and classical computing, potentially accelerating the adoption of quantum technologies in real-world applications.
Chiplet Challenges in Quantum Systems
The integration of chiplet technology in quantum computing systems presents several significant challenges that researchers and engineers must address. One of the primary obstacles is maintaining quantum coherence across multiple chiplets. Quantum states are extremely fragile and susceptible to decoherence, which can be exacerbated when signals need to traverse between different chiplets. This challenge requires innovative approaches to interconnect design and signal transmission that can preserve quantum information with minimal loss or disturbance.
Another critical challenge lies in the precise control and synchronization of quantum operations across multiple chiplets. Quantum computations often require exquisite timing and coordination, which becomes more complex when distributed across separate chiplets. Researchers must develop advanced control systems and protocols that can manage quantum operations with high fidelity across the entire multi-chiplet architecture.
Thermal management presents a unique challenge in quantum chiplet systems. Many quantum computing technologies require extremely low temperatures to operate effectively. Integrating multiple chiplets introduces additional heat sources and thermal interfaces, complicating the already demanding task of maintaining a stable, ultra-cold environment. Engineers must devise novel cooling solutions and thermal design strategies to ensure uniform and adequate cooling across all chiplets.
The physical packaging and integration of quantum chiplets pose significant engineering challenges. Quantum systems often require specialized materials and precise fabrication techniques that may not be compatible with traditional chiplet packaging methods. Developing new packaging technologies that can accommodate the unique requirements of quantum components while enabling modular integration is a key area of research.
Signal integrity and crosstalk mitigation become even more critical in quantum chiplet systems. The extreme sensitivity of quantum states to electromagnetic interference necessitates advanced shielding and isolation techniques. Designers must find ways to minimize crosstalk between chiplets and protect quantum signals from external noise sources without compromising the benefits of modular integration.
Scalability remains a fundamental challenge in quantum computing, and the chiplet approach introduces additional complexities. As the number of chiplets in a system increases, so does the difficulty of maintaining coherent quantum operations across the entire architecture. Researchers must develop scalable interconnect technologies and control systems that can support the integration of a large number of quantum chiplets without degrading overall system performance.
Lastly, the challenge of yield and manufacturability is particularly acute in quantum chiplet systems. Quantum components often have lower yields compared to classical semiconductors, and integrating multiple quantum chiplets compounds this issue. Developing robust manufacturing processes and effective testing methodologies for quantum chiplets is crucial for the commercial viability of this technology.
Another critical challenge lies in the precise control and synchronization of quantum operations across multiple chiplets. Quantum computations often require exquisite timing and coordination, which becomes more complex when distributed across separate chiplets. Researchers must develop advanced control systems and protocols that can manage quantum operations with high fidelity across the entire multi-chiplet architecture.
Thermal management presents a unique challenge in quantum chiplet systems. Many quantum computing technologies require extremely low temperatures to operate effectively. Integrating multiple chiplets introduces additional heat sources and thermal interfaces, complicating the already demanding task of maintaining a stable, ultra-cold environment. Engineers must devise novel cooling solutions and thermal design strategies to ensure uniform and adequate cooling across all chiplets.
The physical packaging and integration of quantum chiplets pose significant engineering challenges. Quantum systems often require specialized materials and precise fabrication techniques that may not be compatible with traditional chiplet packaging methods. Developing new packaging technologies that can accommodate the unique requirements of quantum components while enabling modular integration is a key area of research.
Signal integrity and crosstalk mitigation become even more critical in quantum chiplet systems. The extreme sensitivity of quantum states to electromagnetic interference necessitates advanced shielding and isolation techniques. Designers must find ways to minimize crosstalk between chiplets and protect quantum signals from external noise sources without compromising the benefits of modular integration.
Scalability remains a fundamental challenge in quantum computing, and the chiplet approach introduces additional complexities. As the number of chiplets in a system increases, so does the difficulty of maintaining coherent quantum operations across the entire architecture. Researchers must develop scalable interconnect technologies and control systems that can support the integration of a large number of quantum chiplets without degrading overall system performance.
Lastly, the challenge of yield and manufacturability is particularly acute in quantum chiplet systems. Quantum components often have lower yields compared to classical semiconductors, and integrating multiple quantum chiplets compounds this issue. Developing robust manufacturing processes and effective testing methodologies for quantum chiplets is crucial for the commercial viability of this technology.
Current Quantum Chiplet Architectures
01 Chiplet integration and packaging
Chiplet technology involves integrating multiple smaller chips (chiplets) into a single package. This approach allows for more flexible and efficient chip design, enabling the combination of different functionalities and manufacturing processes. Advanced packaging techniques are used to connect and assemble these chiplets, improving overall system performance and reducing costs.- Chiplet integration and packaging: Chiplet technology involves integrating multiple smaller chips (chiplets) into a single package. This approach allows for more flexible and efficient chip design, enabling the combination of different process nodes and functionalities. Advanced packaging techniques are used to connect these chiplets, improving overall system performance and reducing costs.
- Interconnect technologies for chiplets: Various interconnect technologies are employed to facilitate communication between chiplets. These may include advanced through-silicon vias (TSVs), silicon interposers, and high-bandwidth interfaces. The choice of interconnect technology impacts the overall performance, power efficiency, and scalability of chiplet-based systems.
- Thermal management in chiplet designs: Effective thermal management is crucial in chiplet-based systems due to the high density of components. Innovative cooling solutions and thermal interface materials are developed to address heat dissipation challenges, ensuring optimal performance and reliability of chiplet-based processors and systems.
- Chiplet-based AI and machine learning accelerators: Chiplet technology is increasingly used in the development of AI and machine learning accelerators. By combining specialized processing units as chiplets, designers can create highly efficient and scalable AI hardware platforms. This approach allows for customization and optimization of AI systems for specific applications.
- Chiplet standardization and ecosystem development: Efforts are underway to standardize chiplet interfaces and protocols, facilitating interoperability between chiplets from different manufacturers. This standardization aims to create a robust ecosystem for chiplet-based designs, enabling more flexible and cost-effective semiconductor solutions across various industries.
02 Interconnect technologies for chiplets
Various interconnect technologies are developed to enable high-speed, low-latency communication between chiplets. These include advanced die-to-die interfaces, through-silicon vias (TSVs), and interposers. The interconnect solutions aim to maximize bandwidth while minimizing power consumption and signal degradation, crucial for chiplet-based designs.Expand Specific Solutions03 Thermal management in chiplet designs
Effective thermal management is critical in chiplet-based systems due to the high density of components. Innovative cooling solutions, such as integrated liquid cooling, advanced heat spreaders, and thermal interface materials, are developed to address the thermal challenges associated with chiplet architectures, ensuring optimal performance and reliability.Expand Specific Solutions04 Power distribution and management for chiplets
Efficient power distribution and management are essential in chiplet designs to optimize performance and reduce energy consumption. Advanced power delivery networks, voltage regulation techniques, and power gating strategies are implemented to ensure stable and efficient power supply to individual chiplets and the overall system.Expand Specific Solutions05 Testing and yield improvement for chiplet-based systems
Developing effective testing methodologies and yield improvement techniques is crucial for chiplet technology. This includes pre-bond and post-bond testing strategies, known-good-die (KGD) selection, and advanced defect detection methods. These approaches help ensure the reliability and quality of chiplet-based systems while improving overall manufacturing yield.Expand Specific Solutions
Quantum Chiplet Industry Leaders
The future of chiplet technology in quantum computing is at an early stage of development, with significant potential for growth. The market is still nascent, with a projected CAGR of over 30% in the coming years. Major players like IBM, Origin Quantum, and Baidu are investing heavily in research and development, while startups such as SeeQC and Equal1 Labs are focusing on innovative approaches to scalable quantum chips. The technology's maturity varies, with companies like PsiQuantum and Rigetti making strides in photonic and superconducting qubits, respectively. Academic institutions like MIT and the University of Kentucky are also contributing to advancements in chiplet integration for quantum systems, indicating a collaborative ecosystem driving progress in this field.
International Business Machines Corp.
Technical Solution: IBM is pioneering the integration of chiplet technology in quantum computing through their "Super-Fridge" project. This approach involves using chiplets to create a modular quantum processor architecture. The system employs a novel 3D integration method, stacking quantum and classical chips vertically to minimize signal latency and improve qubit control[1]. IBM's chiplet-based quantum processors utilize superconducting qubits and are cooled to near absolute zero temperatures. The modular design allows for easier scaling and maintenance of quantum systems, potentially accelerating the path to practical quantum advantage[2][3].
Strengths: Modular design for easier scaling and maintenance; Reduced signal latency; Improved qubit control. Weaknesses: Requires extremely low temperatures; Complex 3D integration process.
Beijing Baidu Netcom Science & Technology Co., Ltd.
Technical Solution: Baidu is investing in quantum computing research, including the exploration of chiplet technology for quantum systems. Their approach focuses on developing a hybrid quantum-classical architecture that leverages chiplets for both quantum and classical processing elements. Baidu's research aims to create a scalable quantum computing platform that can be integrated with their existing AI and cloud infrastructure. The company is exploring various qubit technologies, including superconducting qubits and silicon spin qubits, to determine the most suitable approach for their chiplet-based quantum architecture[8][9].
Strengths: Potential for seamless integration with AI and cloud infrastructure; Exploration of multiple qubit technologies. Weaknesses: Relatively new entrant in quantum hardware development; Challenges in achieving competitive performance with established players.
Breakthrough Quantum Chiplet Designs
Quantum computing system and method for use in investigating quantum electrodynamic effects in physical systems
PatentPendingUS20250124323A1
Innovation
- A method is developed to investigate quantum electrodynamic effects by defining a Hamiltonian representation of a physical system with bosonic and spin components, mapping these states and operators onto a quantum circuit, and executing the circuit on a quantum computing system to track the system's behavior over time.
Wafer-level system implementation method based on multiple layers of wafers and wafer-level system
PatentPendingCN118860951A
Innovation
- Using a multi-layer wafer-level system implementation method, the system is divided into functional layers, interconnection layers and support layers, and functional modules and interconnection modules are built through functional cores to achieve the integration of functional wafers and interconnection wafers. Support the reuse of design resources in different application scenarios.
Quantum-Chiplet Integration Strategies
The integration of chiplet technology with quantum computing systems presents a promising avenue for advancing the field of quantum information processing. As quantum systems grow in complexity and scale, the modular approach offered by chiplets becomes increasingly attractive. Quantum-chiplet integration strategies focus on developing methods to effectively combine classical and quantum components within a single package, leveraging the strengths of both technologies.
One key strategy involves the development of cryogenic chiplets specifically designed to operate at the ultra-low temperatures required for quantum systems. These specialized chiplets can house control and readout electronics, reducing the need for extensive wiring between room temperature equipment and the quantum processor. This approach not only simplifies system architecture but also minimizes thermal load and potential sources of decoherence.
Another important integration strategy is the exploration of 3D packaging techniques for quantum-chiplet systems. By stacking chiplets vertically, designers can achieve higher density and improved communication between classical and quantum components. This vertical integration also allows for the incorporation of interposers or through-silicon vias (TSVs) to facilitate high-bandwidth, low-latency connections between different functional units.
Heterogeneous integration is a critical aspect of quantum-chiplet strategies, focusing on combining disparate technologies such as superconducting qubits, spin qubits, and photonic elements within a single package. This approach enables the creation of hybrid quantum systems that can leverage the strengths of different qubit types and quantum technologies, potentially leading to more versatile and powerful quantum processors.
The development of standardized interfaces and protocols for quantum-chiplet communication is another crucial strategy. Establishing common standards will facilitate interoperability between chiplets from different manufacturers and allow for more flexible and scalable quantum system designs. This standardization effort may include defining quantum-specific interconnects and developing protocols for coherent information transfer between classical and quantum domains.
Lastly, quantum-chiplet integration strategies are exploring novel materials and fabrication techniques to enhance compatibility between classical and quantum components. This includes research into superconducting materials for interconnects, advanced shielding methods to protect sensitive quantum elements from electromagnetic interference, and the development of new packaging materials that can withstand cryogenic temperatures while providing necessary thermal and electrical properties.
One key strategy involves the development of cryogenic chiplets specifically designed to operate at the ultra-low temperatures required for quantum systems. These specialized chiplets can house control and readout electronics, reducing the need for extensive wiring between room temperature equipment and the quantum processor. This approach not only simplifies system architecture but also minimizes thermal load and potential sources of decoherence.
Another important integration strategy is the exploration of 3D packaging techniques for quantum-chiplet systems. By stacking chiplets vertically, designers can achieve higher density and improved communication between classical and quantum components. This vertical integration also allows for the incorporation of interposers or through-silicon vias (TSVs) to facilitate high-bandwidth, low-latency connections between different functional units.
Heterogeneous integration is a critical aspect of quantum-chiplet strategies, focusing on combining disparate technologies such as superconducting qubits, spin qubits, and photonic elements within a single package. This approach enables the creation of hybrid quantum systems that can leverage the strengths of different qubit types and quantum technologies, potentially leading to more versatile and powerful quantum processors.
The development of standardized interfaces and protocols for quantum-chiplet communication is another crucial strategy. Establishing common standards will facilitate interoperability between chiplets from different manufacturers and allow for more flexible and scalable quantum system designs. This standardization effort may include defining quantum-specific interconnects and developing protocols for coherent information transfer between classical and quantum domains.
Lastly, quantum-chiplet integration strategies are exploring novel materials and fabrication techniques to enhance compatibility between classical and quantum components. This includes research into superconducting materials for interconnects, advanced shielding methods to protect sensitive quantum elements from electromagnetic interference, and the development of new packaging materials that can withstand cryogenic temperatures while providing necessary thermal and electrical properties.
Quantum Chiplet Standardization Efforts
The standardization of quantum chiplets is a critical endeavor in the advancement of quantum computing technology. As the field progresses, there is a growing recognition of the need for common standards to facilitate interoperability, scalability, and cost-effectiveness in quantum systems. Several international organizations and industry consortia are spearheading efforts to establish these standards.
One of the primary focus areas is the development of standardized interfaces for quantum chiplets. These interfaces would enable seamless integration of different quantum components, such as qubit arrays, control electronics, and readout systems. The IEEE Quantum Computing Standards Working Group is at the forefront of this effort, working on specifications for quantum chiplet interconnects and communication protocols.
Another key aspect of standardization is the establishment of common performance metrics for quantum chiplets. This includes standardized methods for measuring qubit coherence times, gate fidelities, and error rates. The National Institute of Standards and Technology (NIST) is collaborating with industry partners to develop these benchmarks, which will allow for more accurate comparisons between different quantum chiplet technologies.
Efforts are also underway to standardize the physical form factors of quantum chiplets. This includes defining standard sizes, pin configurations, and thermal management interfaces. The Quantum Economic Development Consortium (QED-C) is leading initiatives to create guidelines for quantum chiplet packaging and integration, aiming to streamline manufacturing processes and reduce costs.
Standardization of quantum chiplet control systems is another crucial area of focus. Organizations like the Quantum Open Source Foundation (QOSF) are working on open-source software frameworks that can interface with various quantum chiplet architectures. This effort aims to create a unified software ecosystem that can support diverse quantum hardware platforms.
As quantum computing moves towards practical applications, there is also a push for standardization in error correction and fault-tolerant quantum chiplet designs. The European Quantum Industry Consortium (QuIC) is coordinating efforts to establish common protocols for implementing quantum error correction codes across different chiplet architectures.
These standardization efforts face significant challenges due to the rapidly evolving nature of quantum technology and the diverse approaches being pursued by different research groups and companies. However, the potential benefits of standardization, including accelerated innovation and reduced barriers to entry, are driving continued collaboration across the quantum computing ecosystem.
One of the primary focus areas is the development of standardized interfaces for quantum chiplets. These interfaces would enable seamless integration of different quantum components, such as qubit arrays, control electronics, and readout systems. The IEEE Quantum Computing Standards Working Group is at the forefront of this effort, working on specifications for quantum chiplet interconnects and communication protocols.
Another key aspect of standardization is the establishment of common performance metrics for quantum chiplets. This includes standardized methods for measuring qubit coherence times, gate fidelities, and error rates. The National Institute of Standards and Technology (NIST) is collaborating with industry partners to develop these benchmarks, which will allow for more accurate comparisons between different quantum chiplet technologies.
Efforts are also underway to standardize the physical form factors of quantum chiplets. This includes defining standard sizes, pin configurations, and thermal management interfaces. The Quantum Economic Development Consortium (QED-C) is leading initiatives to create guidelines for quantum chiplet packaging and integration, aiming to streamline manufacturing processes and reduce costs.
Standardization of quantum chiplet control systems is another crucial area of focus. Organizations like the Quantum Open Source Foundation (QOSF) are working on open-source software frameworks that can interface with various quantum chiplet architectures. This effort aims to create a unified software ecosystem that can support diverse quantum hardware platforms.
As quantum computing moves towards practical applications, there is also a push for standardization in error correction and fault-tolerant quantum chiplet designs. The European Quantum Industry Consortium (QuIC) is coordinating efforts to establish common protocols for implementing quantum error correction codes across different chiplet architectures.
These standardization efforts face significant challenges due to the rapidly evolving nature of quantum technology and the diverse approaches being pursued by different research groups and companies. However, the potential benefits of standardization, including accelerated innovation and reduced barriers to entry, are driving continued collaboration across the quantum computing ecosystem.
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