Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Measurement-Free Ultrafast Quantum Error Correction by Using Multi-Controlled Gates in Higher-Dimensional State Space
T. Inada, Wonho Jang, Y. Iiyama +4 more·Aug 31, 2021
Quantum error correction is a crucial step beyond the current noisy-intermediate-scale quantum device towards fault-tolerant quantum computing. However, most of the error corrections ever demonstrated rely on post-selection of events or post-correcti...
Entanglement phases in large- N hybrid Brownian circuits with long-range couplings
S. Sahu, Shao-Kai Jian, Gregory S. Bentsen +1 more·Aug 31, 2021
We develop solvable models of large-$N$ hybrid quantum circuits on qubits and fermions with long-range power-law interactions and continuous local monitoring, which provide analytical access to the entanglement phase diagram and error-correcting prop...
Representation of binary classification trees with binary features by quantum circuits
R. Heese, P. Bickert, A. Niederle·Aug 30, 2021
We propose a quantum representation of binary classification trees with binary features based on a probabilistic approach. By using the quantum computer as a processor for probability distributions, a probabilistic traversal of the decision tree can ...
Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry
Vladimir Kremenetski, T. Hogg, Stuart Hadfield +2 more·Aug 30, 2021
Determining Hamiltonian ground states and energies is a challenging task with many possible approaches on quantum computers. While variational quantum eigensolvers are popular approaches for near term hardware, adiabatic state preparation is an alter...
Supervised Learning by Chiral-Network-Based Photonic Quantum Computing
W. Yan, Ying-Jie Zhang, Z. Man +2 more·Aug 30, 2021
Benefiting from the excellent control of single photons realized by the emitter-photon-chiral couplings, we propose a novel potential photonic-quantum-computation scheme to perform the supervised learning tasks. The gates for photonic quantum computat...
Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
A. Li, M. S. Alam, T. Iadecola +8 more·Aug 30, 2021
Quantum spin systems may offer the first opportunities for beyond-classical quantum computations of scientific interest. While general quantum simulation algorithms likely require error-corrected qubits, there may be applications of scientific intere...
Identifying optimal cycles in quantum thermal machines with reinforcement-learning
P. A. Erdman, Frank Noé·Aug 30, 2021
The optimal control of open quantum systems is a challenging task but has a key role in improving existing quantum information processing technologies. We introduce a general framework based on reinforcement learning to discover optimal thermodynamic...
Quantum-classical eigensolver using multiscale entanglement renormalization
Q. Miao, T. Barthel·Aug 30, 2021
We propose a variational quantum eigensolver (VQE) for the simulation of strongly-correlated quantum matter based on a multi-scale entanglement renormalization ansatz (MERA) and gradient-based optimization. This MERA quantum eigensolver can have subs...
Quantum simulation of $\phi^4$ theories in qudit systems
D. Kurkcuoglu, M. S. Alam, Joshua Job +4 more·Aug 30, 2021
We discuss the implementation of quantum algorithms for lattice $\Phi^4$ theory on circuit quantum electrodynamics (cQED) system. The field is represented on qudits in a discretized field amplitude basis. The main advantage of qudit systems is that i...
Double sparse quantum state preparation
Tiago M. L. de Veras, L. D. da Silva, Adenilton J. da Silva·Aug 30, 2021
Initializing classical data in a quantum device is an essential step in many quantum algorithms. As a consequence of measurement and noisy operations, some algorithms need to reinitialize the prepared state several times during its execution. If the ...
On the effects of biased quantum random numbers on the initialization of artificial neural networks
R. Heese, M. Wolter, Sascha Mucke +2 more·Aug 30, 2021
Recent advances in practical quantum computing have led to a variety of cloud-based quantum computing platforms that allow researchers to evaluate their algorithms on noisy intermediate-scale quantum devices. A common property of quantum computers is...
QBoost for regression problems: solving partial differential equations
Caio B. D. Goes, T. O. Maciel, Giovani G. Pollachini +3 more·Aug 30, 2021
A hybrid algorithm based on machine learning and quantum ensemble learning is proposed to find an approximate solution to a partial differential equation with good precision and favorable scaling in the required number of qubits. The classical compon...
Fast generation of cat states in Kerr nonlinear resonators via optimal adiabatic control
Jiao-Jiao Xue, Kenny Yu, Wenxiao Liu +2 more·Aug 30, 2021
Macroscopic cat states have been widely studied to illustrate fundamental principles of quantum physics as well as their applications in quantum information processing. In this paper, we propose a quantum speed-up method for the creation of cat state...
Recent advances for quantum classifiers
Weikang Li, D. Deng·Aug 30, 2021
Machine learning has achieved dramatic success in a broad spectrum of applications. Its interplay with quantum physics may lead to unprecedented perspectives for both fundamental research and commercial applications, giving rise to an emergent resear...
Comment on the Quantum Supremacy Claim by Google
Anirudh Reddy, Benjamin Perez-Garcia, A. J. D. Silva +1 more·Aug 29, 2021
Quantum computation promises to execute certain computational tasks on time scales much faster than any known algorithm on an existing classical computer, for example calculating the prime factors of large integers [1]. Recently a research team from ...
Photonic resource state generation from a minimal number of quantum emitters
Bikun Li, S. Economou, Edwin Barnes·Aug 27, 2021
Multi-photon entangled graph states are a fundamental resource in quantum communication networks, distributed quantum computing, and sensing. These states can in principle be created deterministically from quantum emitters such as optically active qu...
An explicit vector algorithm for high-girth MaxCut
Jessica Thompson, Ojas D. Parekh, Kunal Marwaha·Aug 27, 2021
We give an approximation algorithm for MaxCut and provide guarantees on the average fraction of edges cut on $d$-regular graphs of girth $\geq 2k$. For every $d \geq 3$ and $k \geq 4$, our approximation guarantees are better than those of all other c...
Active readout-error mitigation
Rebecca Hicks, B. Kobrin, C. Bauer +1 more·Aug 27, 2021
Mitigating errors is a significant challenge for near term quantum computers. One of the most important sources of errors is related to the readout of the quantum state into a classical bit stream. A variety of techniques have been proposed to mitigat...
Quantum Sub-Gaussian Mean Estimator
Yassine Hamoudi·Aug 27, 2021
We present a new quantum algorithm for estimating the mean of a real-valued random variable obtained as the output of a quantum computation. Our estimator achieves a nearly-optimal quadratic speedup over the number of classical i.i.d. samples needed ...
Digital quantum simulation and Pseudoquantum Simulation of $\mathbb{Z}_2$ Gauge Higgs Model
Yiming Ding, Xiaopeng Cui, Yu Shi·Aug 27, 2021
Abstract We present a quantum algorithm for digital quantum simulation of the Z2 gauge-Higgs model on a 3 × 3 lattice, which is based on Trotter decomposition, the quantum adiabatic algorithm and its circuit realization. Then we perform a classical d...