Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantifying quantum causal influences
Lucas Hutter, R. Chaves, R. Nery +2 more·Oct 9, 2022
Causal influences are at the core of any empirical science, the reason why its quantification is of paramount relevance for the mathematical theory of causality and applications. Quantum correlations, however, challenge our notion of cause and effect...
Investigation of Early-Stage Breast Cancer Detection using Quantum Neural Network
Amjad Y. Sahib, Muazez Al Ali, Musaddiq Al Ali·Oct 8, 2022
aided image diagnostics (CAD) have been used in many fields of diagnostic medicine. It relies heavily on classical computer vision and artificial intelligence. Quantum neural network (QNN) has been introduced by many researchers around the world and ...
Growth Reduction of Similarity-Transformed Electronic Hamiltonians in Qubit Space.
Robert A. Lang, Aadithya Ganeshram, A. Izmaylov·Oct 8, 2022
Accurately solving the electronic structure problem through the variational quantum eigensolver (VQE) is hindered by the available quantum resources of current and near-term devices. One approach to relieving the circuit depth requirements for VQE is...
Coulomb-mediated antibunching of an electron pair surfing on sound
Junliang Wang, Hermann Edlbauer, A. Richard +14 more·Oct 7, 2022
Electron flying qubits are envisioned as potential information links within a quantum computer, but also promise—like photonic approaches—to serve as self-standing quantum processing units. In contrast to their photonic counterparts, electron-quantum...
Toward a quantum simulation of nonlinear sigma models with a topological term
Jack Y. Araz, S. Schenk, M. Spannowsky·Oct 7, 2022
We determine the mass gap of a two-dimensional $O(3)$ nonlinear sigma model augmented with a topological $\theta$-term using tensor network and digital quantum algorithms. As proof of principle, we consider the example $\theta = \pi$ and study its cr...
Time evolution of uniform sequential circuits
Nikita Astrakhantsev, Sheng-Hsuan Lin, F. Pollmann +1 more·Oct 7, 2022
Simulating time evolution of generic quantum many-body systems using classical numerical approaches has an exponentially growing cost either with evolution time or with the system size. In this work, we present a polynomially scaling hybrid quantum-c...
Ab-initio tree-tensor-network digital twin for quantum computer benchmarking in 2D
Daniel Jaschke, A. Pagano, S. Weber +1 more·Oct 7, 2022
Large-scale numerical simulations of the Hamiltonian dynamics of a noisy intermediate scale quantum computer—a digital twin—could play a major role in developing efficient and scalable strategies for tuning quantum algorithms for specific hardware. V...
QParallel: Explicit Parallelism for Programming Quantum Computers
Thomas Häner, V. Kliuchnikov, Martin Roetteler +2 more·Oct 7, 2022
We present a language extension for parallel quantum programming to (1) remove ambiguities concerning parallelism in current quantum programming languages and (2) facilitate space-time tradeoff investigations in quantum computing. While the focus of ...
Gamma-hadron Separation in Imaging Atmospheric Cherenkov Telescopes using Quantum Classifiers
S. Jashwanth, S. Ghosh, Neha Shah +12 more·Oct 7, 2022
In this paper we have introduced a novel method for gamma hadron separation in Imaging Atmospheric Cherenkov Telescopes (IACT) using Quantum Machine Learning. IACTs captures images of Extensive Air Showers (EAS) produced from very high energy gamma r...
Quantum bath suppression in a superconducting circuit by immersion cooling
M. Lucas, A. Danilov, L. Levitin +7 more·Oct 7, 2022
Quantum circuits interact with the environment via several temperature-dependent degrees of freedom. Multiple experiments to-date have shown that most properties of superconducting devices appear to plateau out at T ≈ 50 mK – far above the refrigerat...
Random Max-CSPs Inherit Algorithmic Hardness from Spin Glasses
Chris Jones, Kunal Marwaha, Juspreet Singh Sandhu +1 more·Oct 6, 2022
We study random constraint satisfaction problems (CSPs) in the unsatisfiable regime. We relate the structure of near-optimal solutions for any Max-CSP to that for an associated spin glass on the hypercube, using the Guerra-Toninelli interpolation fro...
Universal Quantum Speedup for Branch-and-Bound, Branch-and-Cut, and Tree-Search Algorithms
Shouvanik Chakrabarti, Pierre Minssen, Romina Yalovetzky +1 more·Oct 6, 2022
Mixed Integer Programs (MIPs) model many optimization problems of interest in Computer Science, Operations Research, and Financial Engineering. Solving MIPs is NP-Hard in general, but several solvers have found success in obtaining near-optimal solut...
Solution of SAT problems with the adaptive-bias quantum approximate optimization algorithm
Yunlong Yu, Chenfeng Cao, Xiang-Bin Wang +2 more·Oct 6, 2022
The quantum approximate optimization algorithm (QAOA) is a promising method for solving certain classical combinatorial optimization problems on near-term quantum devices. When employing the QAOA to 3-SAT and Max-3-SAT problems, the quantum cost exhi...
Quantum simulation of preferred tautomeric state prediction
Yu Shee, Tzu-Lan Yeh, Jeng-Yueh Hsiao +3 more·Oct 6, 2022
Prediction of tautomers plays an essential role in computer-aided drug discovery. However, it remains a challenging task nowadays to accurately predict the canonical tautomeric form of a given drug-like molecule. Lack of extensive tautomer databases,...
Hybrid Quantum Classical Simulations
D. Willsch, M. Jattana, M. Willsch +4 more·Oct 6, 2022
We report on two major hybrid applications of quantum computing, namely, the quantum approximate optimisation algorithm (QAOA) and the variational quantum eigensolver (VQE). Both are hybrid quantum classical algorithms as they require incremental com...
Bayesian autotuning of Hubbard model quantum simulators
L. Szulakowska, J. Dai·Oct 6, 2022
Spins in gated semiconductor quantum dots (QDs) are a promising platform for Hubbard model simulation inaccessible to computation. Precise control of the tunnel couplings by tuning voltages on metallic gates is vital for a successful QD-based simulat...
Variational quantum one-class classifier
Gunhee Park, Joonsuk Huh, D. Park·Oct 6, 2022
One-class classification (OCC) is a fundamental problem in pattern recognition with a wide range of applications. This work presents a semi-supervised quantum machine learning algorithm for such a problem, which we call a variational quantum one-clas...
Variational Quantum Continuous Optimization: a Cornerstone of Quantum Mathematical Analysis
Pablo Bermejo, R. Orús·Oct 6, 2022
Here we show how universal quantum computers based on the quantum circuit model can handle mathematical analysis calculations for functions with continuous domains, without any digitaliza-tion, and with remarkably few qubits. The basic building block...
Variational quantum non-orthogonal optimization
Pablo Bermejo, R. Orús·Oct 6, 2022
Current universal quantum computers have a limited number of noisy qubits. Because of this, it is difficult to use them to solve large-scale complex optimization problems. In this paper we tackle this issue by proposing a quantum optimization scheme ...
Automated Synthesis of Quantum Circuits using Neural Network
Kentaro Murakami, Jianjun Zhao·Oct 6, 2022
While the ability to build quantum computers is improving dramatically, developing quantum algorithms is very limited and relies on human insight and ingenuity. Although several quantum programming languages have been developed, it is challenging for...