Incremental Quantum Circuit Compilation via Structural Similarity
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Solution Overview
Problem
Existing quantum computing models require quantum algorithms to be specified as quantum circuits on idealized hardware, necessitating quantum circuit compilation for each iteration, which is time-consuming and inefficient, especially for structurally identical circuits.
Innovation Solution
A method for incremental generation of quantum circuits, where a computer-implemented system detects structural similarity between submitted quantum circuits and previously compiled circuits, allowing for parametrization or compilation based on existing circuits, thereby reducing the need for full compilation each time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum circuit compilation is performed for each iteration, then the quantum algorithm can be executed on actual quantum hardware, but the overall runtime increases significantly
Solution Approach 1:
The system performs preliminary compilation of quantum circuits and stores them in a database. When a new circuit is submitted, the system checks against previously compiled circuits before performing full compilation, thereby preparing and reusing compiled circuits to avoid redundant work.
Solution Approach 2:
The system creates a database of previously compiled quantum circuits and compares new submitted circuits against these stored copies. If a match is found, the system reuses the existing compiled circuit instead of performing full compilation, reducing runtime while maintaining executability.
2Manufacturing precision
If full quantum circuit compilation is performed each time, then the circuit can be optimized for hardware constraints, but structurally identical circuits are recompiled unnecessarily
Solution Approach 1:
The system stores compiled quantum circuits in a database and compares new submissions against stored copies using structural similarity metrics. When identical or similar circuits are detected, the system reuses existing compiled versions, avoiding redundant optimization work while maintaining circuit quality.
Solution Approach 2:
The system uses parameterized comparison metrics to detect structural similarity between circuits. By changing the comparison parameters to identify structural equivalence, the system can recognize when circuits are essentially identical despite potential parameter variations, enabling efficient reuse.
3Ease of manufacture
If quantum circuits are compiled from scratch each iteration, then the compilation process is simple and deterministic, but the runtime for variational algorithms becomes prohibitively large
Solution Approach 1:
The system performs preliminary compilation of quantum circuits and stores results in a database. Before executing new algorithms, the system queries the database for pre-compiled circuits, thereby preparing reusable compiled versions that eliminate the need for repeated full compilation and significantly reduce total execution time.
Solution Approach 2:
The system maintains a continuous database of compiled circuits that can be reused across multiple algorithm iterations. This continuous availability of pre-compiled circuits eliminates interruptions and redundant work, allowing for continuous efficient execution without the periodic overhead of full compilation.
Data Source
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AI summary
A method includes detecting submission of a first quantum circuit for compilation, the first quantum circuit comprising a first set of quantum logic gates; generating a first gate index, the first gate index comprising an ordered table of a subset of the set of quantum logic gates, each quantum logic gate of the subset of quantum logic gates including a corresponding set of qubits acted on by the quantum logic gate; comparing the first gate index with a second gate index to determine a structural equality of the first quantum circuit and the second quantum circuit; and parameterizing, in response to determining a structural equality of the first quantum circuit and the second quantum circuit, a first set of parameters of a second set of quantum logic gates of the second quantum circuit with a second set of parameters of the first set of quantum logic gates.