Parameterized Quantum Circuits Using Auxiliary-Qubit Post-Selection
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Solution Overview
Problem
The expression capability of parameterized quantum circuits (PQCs) in variational tasks is limited due to noise and decoherence, affecting the execution effect of variational tasks in quantum computing.
Innovation Solution
A quantum computing method and system that adds m auxiliary bits to n task bits, performing post-selection on the output quantum states of the auxiliary bits to update the PQC parameters, allowing the simulation of a quantum system with a physical qubit scale of n using m+n qubits, thereby enhancing the simulation and execution effect of the PQC.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the depth of the PQC is increased to improve expression capability, then the simulation accuracy improves, but the decoherence and noise effects worsen due to limited quantum system stability
Solution Approach 1:
The patent divides the quantum circuit into two separate circuits: a first parameterized quantum circuit for generating candidate solutions, and a second parameterized quantum circuit for verification. This segmentation allows each circuit to be optimized independently, with the first circuit focusing on exploration and the second on validation, thereby improving overall expression capability while managing decoherence effects in each smaller circuit.
Solution Approach 2:
The patent introduces a classical computer as an intermediary between quantum measurements and parameter updates. The classical computer processes measurement results, determines whether to update parameters based on convergence criteria, and manages the iterative optimization process. This intermediary approach allows for more sophisticated error handling and parameter adjustment strategies that can compensate for noise and decoherence effects.
2Measurement precision
If more qubits are used to simulate larger quantum systems, then the expression capability improves, but the device complexity increases
Solution Approach 1:
The patent segments the quantum simulation task into two distinct circuits with different qubit requirements. The first circuit uses n qubits for generating candidate solutions, while the second circuit uses m qubits for verification, where n and m can be independently optimized. This allows the system to simulate larger quantum systems by distributing the qubit requirements across two specialized circuits rather than requiring one large circuit with all qubits simultaneously engaged.
Solution Approach 2:
The patent employs a two-stage approach where the first circuit performs partial computation to generate candidate solutions, and the second circuit performs additional verification. This partial action strategy allows the system to achieve higher expression capability by distributing computational tasks across two circuits rather than requiring all qubits to be perfectly coherent in a single deep circuit, thereby managing device complexity more effectively.
Data Source
AI summary
A quantum computing task processing method includes: performing transformation processing on input quantum states of n+m qubits through a parameterized quantum circuit, the n+m qubits including n task bits and m auxiliary bits; measuring output quantum states of the n+m qubits to obtain a bit string of the n+m qubits; updating parameters of the parameterized quantum circuit based on output quantum states of the n task bits when an auxiliary substring satisfies a post-selection condition and the parameterized quantum circuit has not converged, the auxiliary substring being a substring corresponding to the m auxiliary bits in the bit string; and obtaining a computing result of the target quantum computing task based on the output quantum states of the n task bits when the auxiliary substring satisfies the post-selection condition and the circuit has converged.


