Quantum Compilation Device Stochastic Gate Selection
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Solution Overview
Problem
Existing quantum compilation methods require longer elementary gate sequences to achieve higher approximation accuracy, which is inefficient in terms of compilation efficiency.
Innovation Solution
A quantum compilation device that stochastically selects an elementary gate sequence to minimize the error between observed distributions, allowing for improved approximation accuracy without increasing the length of the elementary gate sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of elementary gates in the elementary gate sequence is increased, then the approximation accuracy of the quantum circuit is improved, but the length of the elementary gate sequence increases
Solution Approach 1:
The patent applies dynamics by transitioning from a deterministic gate sequence to a stochastic one, where the quantum circuit is represented as a probability distribution over multiple elementary gate sequences. This dynamic approach allows the system to achieve higher approximation accuracy without proportionally increasing the length of individual gate sequences, as the accuracy benefit comes from the distribution across multiple sequences rather than extending any single sequence.
Solution Approach 2:
The patent changes the parameter representation from a fixed deterministic gate sequence to a probabilistic distribution characterized by probabilities p(k) for each sequence Uk. This parameter transformation enables the system to encode more information and achieve higher approximation accuracy while maintaining comparable or reduced sequence lengths, as the probability distribution captures the essential quantum behavior more efficiently.
2Measurement precision
If the length of the elementary gate sequence is increased, then the approximation accuracy is improved, but the compilation efficiency deteriorates
Solution Approach 1:
By introducing stochasticity and representing the quantum circuit as a distribution over gate sequences rather than a single deterministic sequence, the patent achieves faster convergence to high approximation accuracy. This dynamic representation allows compilation algorithms to explore the solution space more efficiently and find accurate approximations with shorter computational paths, thereby improving compilation efficiency without sacrificing accuracy.
Solution Approach 2:
The patent applies partial action by representing the quantum circuit with a truncated distribution over a finite number K of elementary gate sequences, where K is chosen to achieve the desired approximation accuracy. This approach avoids the excessive action of considering all possible gate sequences, which would be computationally intractable, while still achieving high accuracy through the probabilistic combination of a manageable number of sequences.
Data Source
AI summary
A quantum compilation device obtains a probability p(k) that minimizes an error between a distribution of first observed values obtained by observing, with any observation method, a first quantum state obtained by causing the quantum circuit to be compiled represented by a unitary matrix U to act on any input quantum state, and a distribution of second observed values obtained by observing, with the observation method, a second quantum state obtained by causing a quantum circuit represented by each of a plurality of elements Uk∈{U1, . . . , UK} of a set {U1, . . . , UK} to act on the input quantum state with the probability p(k), for the set {U1, . . . , UK} in which a unitary matrix representing elementary gates and/or a unitary matrix representing a product of unitary matrices each representing an elementary gate are the elements U1, . . . , and UK, and the unitary matrix U representing a quantum circuit to be compiled, and outputs an element Uk with the probability p(k). Here, K is an integer of 2 or more, and k=1, . . . , and K.


