Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Simulations of frustrated Ising Hamiltonians using quantum approximate optimization
Phillip C. Lotshaw, Hanjing Xu, B. Khalid +3 more·Jun 10, 2022
Novel magnetic materials are important for future technological advances. Theoretical and numerical calculations of ground-state properties are essential in understanding these materials, however, computational complexity limits conventional methods ...
Pulse-Level Scheduling of Quantum Circuits for Neutral-Atom Devices
R. Tsai, Henrique Silv'erio, L. Henriet·Jun 10, 2022
We show how a pulse-level implementation of the multi-qubit gates in neutral-atom device architectures allows for the simultaneous execution of singleand multi-qubit gates acting on overlapping sets of qubits, in a mechanism we name absorption. With ...
Efficient Quantum Circuit Design with a Standard Cell Approach, with an Application to Neutral Atom Quantum Computers
Evan E. Dobbs, J. Friedman, A. Paler·Jun 10, 2022
We design quantum circuits by using the standard cell approach borrowed from classical circuit design, which can speed up the layout of circuits with a regular structure. Our standard cells are general and can be used for all types of quantum circuit...
Predicting Gibbs-State Expectation Values with Pure Thermal Shadows
Luuk Coopmans, Y. Kikuchi, Marcello Benedetti·Jun 10, 2022
The preparation and computation of many properties of quantum Gibbs states is essential for algorithms such as quantum semidefinite programming and quantum Boltzmann machines. We propose a quantum algorithm that can predict $M$ linear functions of an...
Impact of dynamics, entanglement and Markovian noise on the fidelity of few-qubit digital quantum simulation
M. D. Porter, I. Joseph·Jun 10, 2022
Quantum algorithms have been proposed to accelerate the simulation of the chaotic dynamical systems that are ubiquitous in the physics of plasmas. Quantum computers without error correction might even use noise to their advantage to calculate the Lya...
Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry
Faris M. Sbahi, Antonio J. Martinez, Sahil Patel +4 more·Jun 9, 2022
The dual tasks of quantum Hamiltonian learning and quantum Gibbs sampling are relevant to many important problems in physics and chemistry. In the low temperature regime, algorithms for these tasks often suffer from intractabilities, for example from...
Quantum Policy Iteration via Amplitude Estimation and Grover Search - Towards Quantum Advantage for Reinforcement Learning
Simon Wiedemann, D. Hein, S. Udluft +1 more·Jun 9, 2022
We present a full implementation and simulation of a novel quantum reinforcement learning method. Our work is a detailed and formal proof of concept for how quantum algorithms can be used to solve reinforcement learning problems and shows that, given...
Simulating adiabatic quantum computing with parameterized quantum circuits
Ioannis Kolotouros, Ioannis Petrongonas, Miloš Prokop +1 more·Jun 9, 2022
Adiabatic quantum computing is a universal model for quantum computing whose implementation using a gate-based quantum computer requires depths that are unreachable in the early fault-tolerant era. To mitigate the limitations of near-term devices, a ...
Efficient motional-mode characterization for high-fidelity trapped-ion quantum computing
Mingyu Kang, Qiyao Liang, Ming Li +1 more·Jun 9, 2022
To achieve high-fidelity operations on a large-scale quantum computer, the parameters of the physical system must be efficiently characterized with high accuracy. For trapped ions, the entanglement between qubits are mediated by the motional modes of...
Multi-state quantum simulations via model-space quantum imaginary time evolution
T. Tsuchimochi, Yoohee Ryo, Siu Chung Tsang +1 more·Jun 9, 2022
We introduce the framework of model space into quantum imaginary time evolution (QITE) to enable stable estimation of ground and excited states using a quantum computer. Model-space QITE (MSQITE) propagates a model space to the exact one by retaining...
Adaptive Compilation of Multi-Level Quantum Operations
Kevin Mato, M. Ringbauer, S. Hillmich +1 more·Jun 8, 2022
Quantum computers have the potential to solve some important industrial and scientific problems with greater efficiency than classical computers. While most current realizations focus on two-level qubits, the underlying physics used in most hardware ...
Exploring Accurate Potential Energy Surfaces via Integrating Variational Quantum Eigensolver with Machine Learning.
Yanxian Tao, Xiongzhi Zeng, Yi Fan +3 more·Jun 8, 2022
The potential energy surface (PES) is crucial for interpreting a variety of chemical reaction processes. However, predicting accurate PESs with high-level electronic structure methods is a challenging task due to the high computational cost. As an ap...
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms
M. Schuetz, J. K. Brubaker, H. Montagu +6 more·Jun 8, 2022
We solve robot trajectory planning problems at industry-relevant scales. Our end-to-end solution integrates highly versatile random-key algorithms with model stacking and ensemble techniques, as well as path relinking for solution refinement. The cor...
Emergence of Spinmerism for Molecular Spin-Qubits Generation.
Pablo Roseiro, Louis Petit, Vincent Robert +1 more·Jun 8, 2022
Molecular platforms are regarded as promising candidates in the generation of units of information for quantum computing. Herein, a strategy combining spin-crossover metal ions and radical ligands is proposed from a model Hamiltonian first restricted...
Computational advantage of quantum random sampling
D. Hangleiter, J. Eisert·Jun 8, 2022
Quantum random sampling is the leading proposal for demonstrating a computational advantage of quantum computers over classical computers. Recently, first large-scale implementations of quantum random sampling have arguably surpassed the boundary of ...
Resource Reduction in Multiplexed High-Dimensional Quantum Reed-Solomon Codes
S. Nishio, N. Piparo, M. Hanks +2 more·Jun 8, 2022
Quantum communication technologies will play an important role in quantum information processing in the near future as we network devices together. However, their implementation is still a challenging task due to both loss and gate errors. Quantum er...
Predict better with less training data using a QNN
Barry D. Reese, M. Kowalik, Christian Metzl +2 more·Jun 8, 2022
Over the past decade, machine learning revolutionized vision-based quality assessment for which convolutional neural networks (CNNs) have now become the standard. In this paper, we consider a potential next step in this development and describe a qua...
Threshold-independent method for single-shot readout of spin qubits in semiconductor quantum dots
Rui-Zi 睿梓 Hu 胡, Sheng-Kai 圣凯 Zhu 祝, X. Zhang 张 +9 more·Jun 8, 2022
The single-shot readout data process is essential for the realization of high-fidelity qubits and fault-tolerant quantum algorithms in semiconductor quantum dots. However, the fidelity and visibility of the readout process are sensitive to the choice...
Q# as a Quantum Algorithmic Language
Kartik Singhal, Kesha Hietala, Sarah Marshall +1 more·Jun 7, 2022
Q# is a standalone domain-specific programming language from Microsoft for writing and running quantum programs. Like most industrial languages, it was designed without a formal specification, which can naturally lead to ambiguity in its interpretati...
Quantum Resources Required to Block-Encode a Matrix of Classical Data
B. D. Clader, A. Dalzell, N. Stamatopoulos +3 more·Jun 7, 2022
We provide a modular circuit-level implementation and resource estimates for several methods of block-encoding a dense <inline-formula><tex-math notation="LaTeX">$N\times N$</tex-math></inline-formula> matrix of classical data to precision <inline-fo...