Quantum Measurement Aggregation via Instruction Merging
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Solution Overview
Problem
Quantum measurement instructions in quantum programs are resource-intensive due to hardware acquisition time and classical data processing, leading to extended runtime and excessive computational resource consumption, especially when multiplexed readout hardware is used.
Innovation Solution
A system and method that aggregates quantum measurement instructions by identifying adjacent instructions, determining if they share qubits, and either merging or swapping them to minimize the number of measurement instructions without changing the net result of the program, thereby reducing computational overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If quantum measurement instructions are executed sequentially in the quantum program, then measurement precision is maintained, but runtime is extended and computational resource consumption increases
Solution Approach 1:
The patent merges adjacent quantum measurement instructions that operate on different qubits into a single aggregated measurement instruction. This combining approach maintains measurement precision by preserving all necessary measurement operations while executing them in parallel rather than sequentially, thereby reducing runtime and computational resource consumption without sacrificing measurement accuracy
2Productivity
If the number of quantum measurement instructions is reduced through aggregation, then productivity improves, but device complexity increases due to the need to analyze qubit sharing and instruction adjacency
Solution Approach 1:
The patent applies preliminary action by performing static analysis of the quantum program before execution to identify adjacent measurement instructions that operate on different qubits. This pre-processing step aggregates compatible measurements into combined instructions, improving productivity during actual execution while the complexity is confined to the compilation/optimization phase rather than runtime
3Loss of time
If quantum measurement instructions are aggregated by merging adjacent instructions, then loss of time is reduced, but device complexity increases due to the aggregation logic required
Solution Approach 1:
The patent merges adjacent quantum measurement instructions that operate on different qubits into single aggregated measurement operations. This merging reduces runtime by eliminating redundant measurement cycles and hardware acquisition times, while the aggregation logic is implemented as a compilation-time optimization that does not significantly increase runtime device complexity
Data Source
AI summary
Systems and techniques that facilitate measurement aggregation in quantum programs are provided. In various embodiments, a system can comprise an input component that can access a quantum program. In various instances, the system can further comprise an aggregation component that can aggregate quantum measurement instructions that are listed in the quantum program. In various embodiments, the aggregation component can aggregate the quantum measurement instructions by: identifying a first quantum measurement instruction in the quantum program; identifying another quantum instruction in the quantum program that is adjacent to the first quantum measurement instruction; and swapping and/or merging the first quantum measurement instruction with the another quantum instruction based on determining whether the first quantum measurement instruction and the another quantum instruction share qubits and based on determining whether the another quantum instruction is a quantum measurement instruction.