Quantum Instruction Hierarchy for Scalable Low-Power Control
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Solution Overview
Problem
Existing quantum computer architectures are not designed for practical-scale applications, facing scaling bottlenecks and inefficiencies in bandwidth, power consumption, and control complexity, particularly in systems requiring millions of qubits and billions of operations with low error rates.
Innovation Solution
A practical-scale instruction hierarchy for quantum computers, comprising a set of instruction translation levels that minimize bandwidth and power consumption while enabling efficient control and programmability, supporting logical qubits, scalable I/O, and simplified control stack design, applicable across different qubit technologies and quantum error correction schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a quantum computer is designed for practical-scale applications with millions of qubits and billions of operations, then computational capability and productivity are improved, but device complexity and control complexity increase significantly
Solution Approach 1:
The patent segments the control architecture into multiple hierarchical layers: physical qubit control layer, logical qubit layer, and algorithm layer. Each layer operates with its own instruction set and abstraction level, allowing complex quantum computations to be broken down into manageable segments that can be controlled independently, thereby reducing overall control complexity while maintaining high computational capability
Solution Approach 2:
The patent introduces intermediary components including quantum instruction sets, compiler layers, and control software that act as mediators between the physical quantum hardware and the algorithms. These intermediaries translate high-level quantum operations into low-level physical control signals, reducing the burden on direct control systems and enabling scalable quantum computing with millions of qubits
2Use of energy by moving object
If bandwidth and power consumption are reduced for scalable quantum computing, then energy efficiency is improved, but control precision and measurement accuracy may deteriorate
Solution Approach 1:
The patent merges multiple control and measurement functions into integrated quantum control units that can perform both control operations and measurements using shared hardware resources. This consolidation reduces overall power consumption and bandwidth requirements while maintaining measurement precision through coordinated operation of the merged components, eliminating redundant separate systems
3Ease of operation
If a hierarchical instruction structure is implemented to simplify control, then ease of operation is improved, but device complexity increases due to additional translation layers
Solution Approach 1:
The patent implements a dynamic instruction hierarchy where the translation layers are not static but adaptively configured based on the specific quantum algorithm and hardware capabilities. The compilation and translation processes can dynamically adjust the level of abstraction and optimization, allowing the system to maintain ease of operation while managing complexity through flexible, context-dependent instruction translation rather than rigid fixed-layer architecture
Data Source
AI summary
Aspects of the disclosure include configuring a hierarchy of instructions resulting in execution on a quantum circuit, where the hierarchy of instructions comprise physical device operations, micro operations, qubit operations, and instruction set architecture (ISA) operations. Aspects include translating from the ISA operations to the qubit operations, from the qubit operations to the micro operations, and from the micro operations to the physical device operations. Aspects include causing execution of the physical device operations on the quantum circuit.