Inter-Module Ion Transport for Low-Fidelity-Loss Quantum Computers
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Solution Overview
Problem
The transport of ions in trapped ion quantum computers introduces challenges such as loss of coherence, temperature gain, and phase accumulation, which lower the fidelity of information stored in qubits, limiting the scalability and reliability of quantum computing systems.
Innovation Solution
Implementing methods and systems for ion transport across inter-module gaps using voltage waveforms, sympathetic cooling techniques, and precise alignment of quantum computing modules to maintain low heat gain and high fidelity, along with mechanisms like shuttling and throw-and-catch to facilitate ion transport between modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If ions are transported across inter-module gaps between quantum computing modules, then modularity and scalability of the quantum computer are improved, but temperature gain and phase accumulation occur which reduce fidelity
Solution Approach 1:
The patent introduces intermediary mechanisms including voltage waveforms that create pseudopotential paths to guide ion transport, and sympathetic cooling agents (coolant ions) that mediate heat transfer from transported ions. These intermediaries enable modular architecture while maintaining fidelity by managing the thermal and phase effects during inter-module transport.
Solution Approach 2:
The patent dynamically changes multiple parameters during ion transport including voltage waveform amplitudes and frequencies, pseudopotential well depths, and coolant ion temperatures. By adjusting these parameters in real-time, the system maintains optimal transport conditions that minimize temperature gain and phase accumulation while enabling modular scalability.
2Device complexity
If ions are transported over gaps or discontinuities in electrode structure, then device complexity is reduced through modular design, but heat gain increases which affects computation accuracy
Solution Approach 1:
Coolant ions serve as intermediary thermal management agents that absorb heat from transported ions through Coulombic interactions. This intermediary cooling mechanism enables modular electrode designs with gaps and discontinuities while maintaining low heat gain during ion transport operations.
Solution Approach 2:
The system performs preliminary cooling actions by pre-positioning coolant ions in strategic locations before ion transport occurs. This preliminary preparation ensures that heat gain is minimized during the actual transport process, enabling modular electrode structures without compromising thermal management.
3Reliability
If sympathetic cooling techniques are applied to cool ions after transport, then temperature is reduced and fidelity is improved, but additional time is required for the cooling process
Solution Approach 1:
The patent implements continuous sympathetic cooling where coolant ions continuously interact with transported ions during and after the transport process. This continuous cooling action reduces the total cooling time required while maintaining high fidelity, as the cooling process begins before transport completes and continues seamlessly.
Solution Approach 2:
The system uses self-service cooling where coolant ions automatically cool transported ions through natural Coulombic interactions without requiring additional active control interventions. This self-service mechanism reduces processing time while maintaining cooling effectiveness and high fidelity.
4Reliability
If voltage waveforms are updated based on ion temperature measurements, then transport fidelity is improved, but system operation complexity increases
Solution Approach 1:
The patent implements feedback control where ion temperature is measured during transport and this information feeds back to dynamically adjust voltage waveforms. This feedback loop improves transport fidelity by compensating for thermal effects in real-time, while the automated feedback mechanism manages the complexity through systematic control algorithms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables high-fidelity, modular, and scalable trapped-ion quantum computers with reduced temperature increase and phase accumulation, allowing for larger qubit counts and fault-tolerant operation by enabling live recalibration and maintenance of quantum computing modules.
Implementation Method 1
transporting an ion across an inter-module gap using a voltage waveform
Implementation Method 2
cooling the ion using a sympathetic cooling technique... the coolant ion coulombically interacts with the ion
Data Source
AI summary
Disclosed herein are trapped-ion quantum computers, trapped-ion quantum computing modules, and techniques and methods for inter-module ion transport. A trapped-ion quantum computer, may comprise a plurality of quantum computing modules, wherein each module of the plurality of quantum computing modules is fabricated on a substrate, wherein feature electrode structures on a module of the plurality of quantum computing modules extend at least partially to an edge of an inter-module gap, and wherein an ion is transported across the inter-module gap with a temperature increase of less than about 100 motional quanta and a transfer infidelity rate of less than about 0.01.