Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Fundamental Machine Learning Routines as Quantum Algorithms on a Superconducting Quantum Computer
Sristy Sangskriti, Protik Nag, Summit Haque·Sep 17, 2021
The Harrow-Hassidim-Lloyd algorithm is intended for solving the system of linear equations on quantum devices. The exponential advantage of the algorithm comes with four caveats. We present a numerical study of the performance of the algorithm when t...
Deep recurrent networks predicting the gap evolution in adiabatic quantum computing
Naeimeh Mohseni, C. Navarrete-Benlloch, T. Byrnes +1 more·Sep 17, 2021
In adiabatic quantum computing finding the dependence of the gap of the Hamiltonian as a function of the parameter varied during the adiabatic sweep is crucial in order to optimize the speed of the computation. Inspired by this challenge, in this wor...
Quantum Newton’s Method for Solving the System of Nonlinear Equations
Cheng Xue, Yuchun Wu, G. Guo·Sep 17, 2021
While quantum computing provides an exponential advantage in solving the system of linear equations, there is little work to solve the system of nonlinear equations with quantum computing. We propose quantum Newton’s method (QNM) for solving [Formula...
Decoding the Entanglement Structure of Monitored Quantum Circuits
B. Yoshida·Sep 17, 2021
Given an output wavefunction of a monitored quantum circuit consisting of both unitary gates and projective measurements, we ask whether two complementary subsystems are entangled or not. For Clifford circuits, we find that this question can be mappe...
Investigation of photon emitters in Ce-implanted hexagonal boron nitride
Gabriel I. L'opez-Morales, Mingxing Li, A. Hampel +9 more·Sep 17, 2021
Color centers in hexagonal boron nitride (hBN) are presently attracting broad interest as a novel platform for nanoscale sensing and quantum information processing. Unfortunately, their atomic structures remain largely elusive and only a small percen...
Quantum Lego: Building Quantum Error Correction Codes from Tensor Networks
ChunJun Cao, Brad Lackey·Sep 16, 2021
We introduce a flexible and graphically intuitive framework that constructs complex quantum error correction codes from simple codes or states, generalizing code concatenation. More specifically, we represent the complex code constructions as tensor ...
Multi-car paint shop optimization with quantum annealing
S. Yarkoni, A. Alekseyenko, Michael Streif +3 more·Sep 16, 2021
We present a generalization of the binary paint shop problem (BPSP) to tackle an automotive industry application, the multi-car paint shop (MCPS) problem. The objective of the optimization is to minimize the number of color switches between cars in a...
Fast and Secure Routing Algorithms for Quantum Key Distribution Networks
Md Shahbaz Akhtar, Krishnakumar G, Vishnu B +1 more·Sep 16, 2021
We investigate the problem of fast and secure packet routing in multi-hop Quantum Key Distribution (QKD) networks. We consider a practical trusted-node setup where a QKD protocol randomly generates symmetric private key pairs over each QKD-enabled li...
A Partially Random Trotter Algorithm for Quantum Hamiltonian Simulations
Shi Jin, Xiantao Li·Sep 16, 2021
Given the Hamiltonian, the evaluation of unitary operators has been at the heart of many quantum algorithms. Motivated by existing deterministic and random methods, we present a hybrid approach, where Hamiltonians with large amplitude are evaluated a...
Mitigating algorithmic errors in quantum optimization through energy extrapolation
Chenfeng Cao, Yunlong Yu, Zipeng Wu +3 more·Sep 16, 2021
Quantum optimization algorithms offer a promising route to finding the ground states of target Hamiltonians on near-term quantum devices. Nonetheless, it remains necessary to limit the evolution time and circuit depth as much as possible, since other...
Deterministic transformations between unitary operations: Exponential advantage with adaptive quantum circuits and the power of indefinite causality
Marco T'ulio Quintino, Daniel Ebler·Sep 16, 2021
This work analyses the performance of quantum circuits and general processes to transform k uses of an arbitrary unitary operation U into another unitary operation f(U). When the desired function f a homomorphism, i.e., f(UV)=f(U)f(V), it is known th...
Stochastic emulation of quantum algorithms
D. Braun, R. Müller·Sep 16, 2021
Quantum algorithms profit from the interference of quantum states in an exponentially large Hilbert space and the fact that unitary transformations on that Hilbert space can be broken down to universal gates that act only on one or two qubits at the ...
Quantum message-passing algorithm for optimal and efficient decoding
C. Piveteau, J. Renes·Sep 16, 2021
Recently, Renes proposed a quantum algorithm called belief propagation with quantum messages (BPQM) for decoding classical data encoded using a binary linear code with tree Tanner graph that is transmitted over a pure-state classical-quantum channel ...
Error-resilient Monte Carlo quantum simulation of imaginary time
M. Huo, Ying Li·Sep 16, 2021
Computing the ground-state properties of quantum many-body systems is a promising application of near-term quantum hardware with a potential impact in many fields. The conventional algorithm quantum phase estimation uses deep circuits and requires fa...
Toward practical quantum embedding simulation of realistic chemical systems on near-term quantum computers
Weitang Li, Zigeng Huang, Changsu Cao +6 more·Sep 16, 2021
Quantum computing has recently exhibited great potential in predicting chemical properties for various applications in drug discovery, material design, and catalyst optimization. Progress has been made in simulating small molecules, such as LiH and h...
Simultaneous single-qubit driving of semiconductor spin qubits at the fault-tolerant threshold
W. Lawrie, M. Rimbach-Russ, F. V. Riggelen +6 more·Sep 16, 2021
Practical Quantum computing hinges on the ability to control large numbers of qubits with high fidelity. Quantum dots define a promising platform due to their compatibility with semiconductor manufacturing. Moreover, high-fidelity operations above 99...
Reinforcement Learning vs. Gradient-Based Optimisation for Robust Energy Landscape Control of Spin-1/2 Quantum Networks
I. Khalid, C. Weidner, E. Jonckheere +2 more·Sep 15, 2021
We explore the use of policy gradient methods in reinforcement learning for quantum control via energy landscape shaping of XX-Heisenberg spin chains in a model agnostic fashion. Their performance is compared to finding controllers using gradient-bas...
Continuous-variable quantum repeaters based on bosonic error-correction and teleportation: architecture and applications
Bo-Han Wu, Zheshen Zhang, Quntao Zhuang·Sep 15, 2021
Quantum repeater is an essential ingredient for quantum networks that link distant quantum modules such as quantum computers and sensors. Motivated by distributed quantum computing and communication, quantum repeaters that relay discrete-variable qua...
Solving Rubik’s cube via quantum mechanics and deep reinforcement learning
Sebastiano Corli, Lorenzo Moro, D. Galli +1 more·Sep 15, 2021
Rubik’s cube is one of the most famous combinatorial puzzles involving nearly 4.3 × 1019 possible configurations. Its mathematical description is expressed by the Rubik’s group, whose elements define how its layers rotate. We develop a unitary repres...
Qurzon: A Prototype for a Divide and Conquer-Based Quantum Compiler for Distributed Quantum Systems
Turbasu Chatterjee, Arnav Das, Shah Ishmam Mohtashim +2 more·Sep 15, 2021
When working with algorithms on quantum devices, quantum memory becomes a crucial bottleneck due to low qubit count in NISQ-era devices. In this context, the concept of ‘divide and compute’, wherein a quantum circuit is broken into several subcircuit...