Quantum Processor Lattice for NP-Hard Problem Approximation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Analog computing systems face limitations in precision and complexity due to their reliance on continuous physical quantities, while digital computers struggle with NP-hard problems that do not scale polynomially with problem size, making them inefficient for certain computational tasks.
Innovation Solution
A quantum processor system utilizing superconducting quantum devices and readout devices arranged in a lattice structure, with coupling devices that enable efficient approximation of solutions to NP-class problems by leveraging quantum tunneling and entanglement to overcome the limitations of both analog and digital computing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If analog computing systems use continuous physical quantities to represent variables, then operations can be performed in parallel without clocks, but precision is limited by the quantification capability of physical quantities
Solution Approach 1:
The patent replaces traditional analog physical quantity representations with quantum mechanical systems. Quantum devices use quantum states (superposition of |0⟩ and |1⟩) to represent computational variables, allowing parallel quantum operations while potentially achieving higher precision through quantum measurement and interference effects. The quantum processor substitutes classical mechanical/electrical analog systems with quantum mechanical processes.
2Ease of operation
If digital computers use finite state machine approach with clocks, then discrete binary state discrimination is easy and power consumption is low, but solving NP-hard problems does not scale polynomially with problem size
Solution Approach 1:
The patent changes the fundamental parameters of computation from classical binary states to quantum states. Quantum devices utilize superposition to represent multiple states simultaneously, and quantum tunneling to transition between states. This parameter change allows quantum parallelism for NP-hard problems while maintaining ease of state discrimination through quantum measurement and readout mechanisms.
Solution Approach 2:
The patent employs a hybrid architecture combining quantum devices for NP-hard problem solving with classical digital systems for other computations. The quantum processor system integrates quantum computing elements (qubits, quantum gates) with classical control and readout systems, creating a composite computing platform that leverages the strengths of both paradigms.
3Speed
If analog systems use physical quantities like voltage or pressure, then they can evolve in real time faster than digital computers, but the number of operations is limited by circuit duplication capability
Solution Approach 1:
The patent replaces classical analog circuit evolution with quantum mechanical evolution. Quantum devices naturally evolve according to the Schrödinger equation, providing real-time computation speeds while avoiding the need for physical circuit duplication. Quantum parallelism allows a single quantum circuit to process multiple computational paths simultaneously through superposition.
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
The system effectively approximates solutions to NP-class problems, such as the Ising Spin Glass and Maximum Independent Set, by utilizing quantum properties to navigate energy landscapes and escape local minima, offering a more efficient approach than traditional digital or analog methods.
Implementation Method 1
leveraging quantum tunneling and entanglement to overcome the limitations of both analog and digital computing
Implementation Method 2
leveraging quantum tunneling and entanglement to overcome the limitations of both analog and digital computing
Implementation Method 3
a first readout device positioned at least partially within the perimeter of the current carrying component, the first readout device responsive to a basis state of the current carrying component
Data Source
AI summary
Analog processors for solving various computational problems are provided. Such analog processors comprise a plurality of quantum devices, for instance qubits, arranged in a lattice, together with a plurality of coupling devices. The analog processors further comprise bias control systems each configured to apply a local effective bias on a corresponding quantum device. A set of coupling devices in the plurality of coupling devices is configured to couple nearest-neighbor quantum devices in the lattice. Another set of coupling devices is configured to couple next-nearest neighbor quantum devices. The analog processors further comprise a plurality of coupling control systems each configured to tune the coupling value of a corresponding coupling device in the plurality of coupling devices to a coupling. Such quantum processors further comprise a set of readout devices each configured to measure the information from a corresponding quantum device in the plurality of quantum devices.