Solving systems of linear equations on a quantum computer
Stefanie Barz, Ivan Kassal, Martin Ringbauer, Yannick Ole Lipp,, Borivoje Dakic, Al\'an Aspuru-Guzik, Philip Walther

TL;DR
This paper demonstrates the implementation of a quantum algorithm for solving linear systems using photonic quantum computing, showcasing technological progress and practical relevance in quantum information processing.
Contribution
It presents the first implementation of a quantum linear system solver on a photonic platform with two entangling gates and heralded operations, advancing quantum algorithm realization.
Findings
Successful implementation of two controlled-NOT gates on photonic qubits
Heralded operation of the first entangling gate
Progress towards comprehensive control of photonic quantum information
Abstract
Systems of linear equations are used to model a wide array of problems in all fields of science and engineering. Recently, it has been shown that quantum computers could solve linear systems exponentially faster than classical computers, making for one of the most promising applications of quantum computation. Here, we demonstrate this quantum algorithm by implementing various instances on a photonic quantum computing architecture. Our implementation involves the application of two consecutive entangling gates on the same pair of polarisation-encoded qubits. We realize two separate controlled-NOT gates where the successful operation of the first gate is heralded by a measurement of two ancillary photons. Our work thus demonstrates the implementation of a quantum algorithm with high practical significance as well as an important technological advance which brings us closer to a…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
