SRAM-Based CMOS Ising Circuitry for Combinatorial Optimization
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Solution Overview
Problem
Current Ising machine technologies face challenges in scalability, energy efficiency, and compatibility with mainstream semiconductor manufacturing, making them impractical for solving real-world combinatorial optimization problems.
Innovation Solution
A CMOS Ising machine utilizing a linear-nonlinear feedback loop with SRAM cells for linear operation, noise addition, and nonlinear operation, integrated on a semiconductor substrate, which includes a multi-core architecture for parallel processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cryogenic super-conducting spins are used to find minimum energy state, then optimization problem solving capability is improved, but power consumption increases to kW-range and system cost reaches million-dollar
Solution Approach 1:
The patent replaces the mechanical/cryogenic super-conducting system with an electrical oscillator network that operates at room temperature using standard CMOS technology, eliminating the need for expensive cryogenic refrigeration systems while maintaining optimization solving capability
Solution Approach 2:
The patent changes the operating temperature parameter from cryogenic temperatures to room temperature, and transitions from super-conducting materials to standard CMOS transistors, fundamentally altering the physical operating conditions to reduce power consumption and system cost
2Productivity
If optical oscillators are used to determine ground state, then optimization capability is improved, but scalability and energy efficiency deteriorate due to non-trivial nonlinear materials requirement
Solution Approach 1:
The patent transitions from optical domain to electrical domain, changing the operating frequency parameter from optical frequencies to radio frequencies where standard CMOS transistors can operate, eliminating the need for specialized nonlinear optical materials
Solution Approach 2:
The patent substitutes optical oscillators requiring nonlinear optical materials with electrical oscillators implemented using standard CMOS transistors, enabling compatibility with mainstream semiconductor manufacturing processes
3Productivity
If coupled network of electrical oscillators is used, then optimization solving is improved, but device complexity increases making scaling and integration difficult
Solution Approach 1:
The patent divides the oscillator network into modular units where each oscillator is implemented as a separate CMOS circuit module, allowing independent fabrication and testing before integration, thereby reducing overall system complexity
Solution Approach 2:
The patent designs universal oscillator modules that can be replicated and tiled to solve different optimization problems, where each module serves multiple functions including frequency generation, coupling, and state representation
4Productivity
If memresistive cross-bar based methods are used, then Ising machine functionality is achieved, but speed decreases to MHz range and reprogramming time increases
Solution Approach 1:
The patent replaces memresistive cross-bar structures with standard CMOS transistor-based oscillators, utilizing well-established high-speed CMOS technology to achieve GHz-range operating speeds while maintaining Ising machine functionality
Solution Approach 2:
The patent changes the programming mechanism from resistive switching in memristors to capacitive charging/discharging in CMOS circuits, enabling faster reconfiguration times and higher operating speeds compatible with standard semiconductor processes
Data Source
AI summary
Embodiments of the present disclosure provide systems, devices, and methods for solving combinatorial optimization problems using a device that functions as a CMOS Ising machine. An example device includes circuitry for linear operation, circuitry for noise addition, and circuitry for nonlinear operation. The circuitry for linear operation includes a plurality of SRAM cells in an SRAM cell array that store values of a coupling matrix. In some embodiments, circuitry for linear operation, circuitry for noise addition, and circuitry for nonlinear operation may be fabricated on a semiconductor substrate. In some embodiments, the device may include a feedback loop including circuitry for linear operation, circuitry for noise addition, and circuitry for nonlinear operation, wherein the circuitry for linear operation is coupled to the circuitry for nonlinear operation.


