Classical Spin System Solving Inverse Problems Without Cryogenic Cooling
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Solution Overview
Problem
Adiabatic quantum computing requires quantum coherence and cryogenic cooling equipment, making it impractical for efficient computation of inverse problems.
Innovation Solution
A classical computer system is developed using a spin system that mimics adiabatic processes without quantum coherence, employing local effective magnetic fields and discrete time steps to determine the ground state of a Hamiltonian, allowing for efficient computation without cryogenic cooling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adiabatic quantum computing is used to solve inverse problems requiring exhaustive search, then computation efficiency is improved, but quantum coherence requirements and cryogenic cooling equipment make the system complex and impractical
Solution Approach 1:
The patent creates a classical analog system that copies the essential behavior of quantum adiabatic evolution. Instead of using actual quantum particles requiring coherence, the invention uses classical spin variables that follow similar energy minimization principles, thereby achieving quantum-like computational power without quantum hardware complexity
Solution Approach 2:
The patent replaces the quantum mechanical system with a classical mechanical analog. The quantum Schrödinger equation is substituted with a classical differential equation describing spin evolution under effective magnetic fields, replacing quantum coherence requirements with classical deterministic dynamics
2Reliability
If superconducting magnetic flux qubits are used for adiabatic quantum computing, then quantum coherence is maintained, but cryogenic cooling equipment is required
Solution Approach 1:
The patent uses short-lived, room-temperature stable classical spin variables instead of fragile quantum qubits requiring extreme cooling. The classical system can be initialized, evolved, and reset quickly without the need for maintaining quantum coherence through cryogenic temperatures
Solution Approach 2:
The patent changes the fundamental parameters of the system from quantum mechanical (wave functions, probability amplitudes, coherence times) to classical parameters (spin values, effective magnetic fields, energy landscapes). This parameter transformation eliminates the need for cryogenic cooling while preserving the computational essence
3Measurement precision
If exhaustive search is conducted to find initial values for inverse problems, then all candidates are evaluated, but computation time becomes excessively long
Solution Approach 1:
The patent applies preliminary action by setting up an energy landscape where the ground state (minimum energy configuration) directly encodes the solution. Instead of searching through all possibilities sequentially, the system is prepared in an easily created state and then slowly evolved to the ground state, which corresponds to the optimal solution
Solution Approach 2:
The patent introduces dynamic evolution of the system from an initial Hamiltonian with known ground state to a final Hamiltonian encoding the problem. The continuous transformation of the Hamiltonian allows the system to dynamically adapt and find the solution through gradual energy minimization rather than static exhaustive search
Data Source
AI summary
A classical technique relying on thermodynamics is used, and spin sj, which is a variable, is made to follow a local effective magnetic field Bj to bring a system to a ground state of a problem-setting system. The ground state is a solution thereof. At t=0, the effective magnetic field Bj is applied rightward in all the sites, and all the spins sj are initialized rightward. The magnetic field in the z axis direction and the interaction between spins are gradually applied with time t, which finally brings the spins in the +z direction or the −z direction, and the z components of the spins sj become sjz=+1 or −1. In addition, correction parameters originating from quantum mechanical effects are introduced when the direction of the spin sj is made to follow the direction of the effective magnetic field Bj so as to improve calculation performance.