Quantum Circuit Cutting via Real-Time Telemetry and SLOs
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Solution Overview
Problem
Existing quantum computing systems face challenges in efficiently executing large quantum circuits due to limitations in qubit count and accuracy, as well as resource constraints in both real and simulated quantum systems.
Innovation Solution
The implementation of a cutting operation that divides large quantum circuits into smaller subcircuits, utilizing real-time telemetry data and service level objectives to optimize the cutting process through a probabilistic approach and mixed-integer programming algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If quantum circuits are executed on real quantum hardware with more qubits, then the circuit size capacity is improved, but the execution accuracy deteriorates
Solution Approach 1:
The patent divides a large quantum circuit into multiple smaller subcircuits that can be executed separately on quantum hardware with fewer qubits. Each subcircuit is processed independently and the results are combined through a knitting operation to produce the final result, thereby avoiding the accuracy degradation associated with using larger quantum hardware
2Adaptability or versatility
If quantum circuits are simulated with higher complexity, then the circuit capability is improved, but the resource consumption increases exponentially
Solution Approach 1:
The patent segments complex quantum circuits into smaller subcircuits that can be simulated with moderate computational resources. By processing circuits in smaller chunks and combining results, the system achieves high circuit capability without requiring exponential computational resources that would be needed for direct simulation of the entire circuit
3Speed
If circuit cutting is performed without considering real-time telemetry, then the processing speed is improved, but the resource allocation efficiency deteriorates
Solution Approach 1:
The patent incorporates real-time telemetry data and service level objectives into the circuit cutting process. The system continuously monitors resource availability and performance metrics, using this feedback to dynamically adjust cutting parameters and optimize the division of circuits into subcircuits, thereby improving both processing speed and resource allocation efficiency
4Ease of operation
If quantum circuits are executed without cutting operations, then the execution simplicity is improved, but the system adaptability deteriorates
Solution Approach 1:
The patent automatically segments quantum circuits into subcircuits based on hardware constraints and resource availability, making the system adaptable to different quantum hardware configurations without requiring manual intervention. The automatic cutting and knitting process maintains execution simplicity while enabling the system to adapt to various hardware capacities and conditions
Data Source
AI summary
Cutting quantum circuits is disclosed. Probability distributions for quantum circuit parameters are generated from historical quantum circuit data. When cutting the quantum circuit, the probability distributions are sampled to obtain a set of initial circuit parameters that can function as constraints in the cutting operation.