Spin Hall Nano-Oscillator Ising Machine for Room-Temperature Annealing

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Solution Overview

Problem

Conventional Ising Machines face challenges such as high power consumption, large cryogenic facilities, high production costs, sparse qubit connectivity, and limited scalability, making them inefficient for solving Combinatorial Optimization problems effectively.

Innovation Solution

A Spin Hall nano-oscillator (SHNO) based Ising Machine with a tuning unit to alter individual SHNO characteristics and a read-out unit to detect states, allowing for efficient computation by mapping problems onto the phase states and coupling strengths of SHNOs, and performing annealing to minimize the Ising Hamiltonian.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional Ising Machines use cryogenic facilities to achieve stable operation, then reliability is improved, but power consumption and device complexity increase significantly

Engineering Contradiction:
Improvestable operationVSAvoidpower consumption
Core Design Contradiction:
ReliabilityVSUse of energy by stationary object

Solution Approach 1:

The patent changes the operating temperature parameter from cryogenic to room temperature by using spin Hall nano-oscillators, which maintain stable operation without requiring cryogenic facilities. This parameter change resolves the contradiction by achieving reliability through material science advancement rather than extreme environmental control.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If quantum annealers and CMOS annealers are used to solve combinatorial optimization problems, then solution quality is improved, but scalability and production cost worsen

Engineering Contradiction:
Improvesolution qualityVSAvoidscalability
Core Design Contradiction:
Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The patent replaces complex quantum or CMOS mechanical systems with spin Hall nano-oscillator based systems that operate on spintronic principles. This substitution enables better scalability while maintaining solution quality, as the nano-oscillator architecture can be more easily integrated and scaled using existing semiconductor manufacturing processes.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Temperature

If optical parametric oscillators are used for room-temperature operation, then operating temperature is improved, but footprint and power consumption worsen

Engineering Contradiction:
Improveoperating temperatureVSAvoidfoot-print
Core Design Contradiction:
TemperatureVSArea of stationary object

Solution Approach 1:

The patent substitutes optical parametric oscillators with spin Hall nano-oscillators, replacing a bulky optical system with a compact spintronic device. This substitution achieves room-temperature operation while dramatically reducing the footprint, as nano-oscillators can be integrated at the nanoscale compared to the kilometer-long optical fibers required by OPO systems.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Adaptability or versatility

If digital CMOS annealers with FPGA are used to achieve reconfigurability, then adaptability is improved, but computational efficiency worsens due to Von-Neumann architecture

Engineering Contradiction:
ImprovereconfigurabilityVSAvoidcomputational efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent replaces the Von-Neumann digital computing architecture with a physical spintronic system that directly maps optimization problems to physical energy landscapes. This substitution eliminates the inefficiency of sequential digital computation while maintaining adaptability through the physical reconfigurability of spin Hall nano-oscillator networks, achieving both efficiency and flexibility simultaneously.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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 SHNO-based Ising Machine achieves efficient computation with reduced power consumption and improved scalability, enabling faster processing speeds and better solution quality for Combinatorial Optimization problems, while operating at room temperature without the need for extensive cryogenic facilities.

Implementation Method 1

A spin Hall nano-oscillator based Ising machine comprising at least one array of spin Hall nano-oscillators

Methodology Applied
Scientific EffectSpin Hall Effect: Hall Effect

Implementation Method 2

a tuning unit arranged to effect the characteristics of at least one individual spin Hall nano-oscillators of the array

Methodology Applied
Scientific EffectFrequency tuning:

Implementation Method 3

a SHNO read-out unit arranged to detect and transfer a state of at least a one individual spin Hall nano-oscillators of the array

Methodology Applied
Scientific EffectPhase detection:

Implementation Method 4

performing annealing to minimize the Ising Hamiltonian

Methodology Applied
Scientific EffectAnnealing: Annealing

Data Source

PatentUS20230231520A1A spin hall ising machine and method for operating such
Publication Date: 2023.07.20 SPINSEI CONSULTING AB
  • US20230231520A1 patent drawing
  • US20230231520A1 patent drawing
  • US20230231520A1 patent drawing

AI summary

The present invention relates to an Ising Machine utilizing a network of spin Hall nano-oscillators (SHNOs) suitable or computational tasks such as optimization problems. The spin Hall nano-oscillator based Ising machine is provided with a tuning nitarranged to effect the characteristics of at least one individual spin Hall nano-oscillators of the array; and a SHNO read-out unit arranged to detect and transfer a state of at least a one individual spin Hall nano-oscillators of the array.