Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A path towards quantum advantage in training deep generative models with quantum annealers
Walter Winci, L. Buffoni, Hossein Sadeghi +3 more·Dec 4, 2019
The development of quantum-classical hybrid (QCH) algorithms is critical to achieve state-of-the-art computational models. A QCH variational autoencoder (QVAE) was introduced in reference [] by some of the authors of this paper. QVAE consists of a cl...
Demonstration of minisuperspace quantum cosmology using quantum computational algorithms on IBM quantum computer
Anirban Ganguly, Ritu Dhaulakhandi, B. K. Behera +1 more·Dec 1, 2019
Quantum computers promise to efficiently solve important problems that are intractable on a conventional computer. Quantum computational algorithms have the potential to be an exciting new way of studying quantum cosmology. In quantum cosmology, we l...
Higher rank matricial ranges and hybrid quantum error correction
Ningping Cao, D. Kribs, Chi-Kwong Li +3 more·Nov 28, 2019
ABSTRACT We introduce and initiate the study of a family of higher rank matricial ranges, taking motivation from hybrid classical and quantum error correction coding theory and its operator algebra framework. In particular, for a noisy quantum channe...
Optimal quantum control with digitized Quantum Annealing
G. Mbeng, R. Fazio, G. Santoro·Nov 25, 2019
We show how a digitized version of Quantum Annealing can be made optimal, realizing the best possible solution allowed by quantum mechanics in the shortest time, without any prior knowledge on the location and properties of the spectral gap. Our find...
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, L. Cincio +2 more·Nov 25, 2019
Quantum computing is a computational paradigm with the potential to outperform classical methods for a variety of problems. Proposed recently, the Quantum Approximate Optimization Algorithm (QAOA) is considered as one of the leading candidates for de...
On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware
Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal +3 more·Nov 22, 2019
Many combinatorial scientific computing problems are NP-hard which in practice requires using heuristics that either decompose a large-scale problem and solve many smaller local subproblems in parallel or iteratively improve the solution by local pro...
Efficient Implementation of a Quantum Algorithm in a Single Nitrogen-Vacancy Center of Diamond.
Jingfu Zhang, Swathi S. Hegde, D. Suter·Nov 14, 2019
Quantum computers have the potential to speed up certain problems that are hard for classical computers. Hybrid systems, such as the nitrogen-vacancy (NV) center in diamond, are among the most promising systems to implement quantum computing, provide...
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
J. Caldeira, Joshua Job, S. Adachi +2 more·Nov 14, 2019
We present the application of Restricted Boltzmann Machines (RBMs) to the task of astronomical image classification using a quantum annealer built by D-Wave Systems. Morphological analysis of galaxies provides critical information for studying their ...
Full-State Quantum Circuit Simulation by Using Data Compression
Xin-Chuan Wu, S. Di, Emma Maitreyee Dasgupta +4 more·Nov 11, 2019
Quantum circuit simulations are critical for evaluating quantum algorithms and machines. However, the number of state amplitudes required for full simulation increases exponentially with the number of qubits. In this study, we leverage data compressi...
Hybrid quantum-classical convolutional neural networks
Junhua Liu, Kwan Hui Lim, Kristin L. Wood +3 more·Nov 8, 2019
Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or contexts. In parallel, quantum computing has demonstrated to be able to output complex wave functions with a few number of gate operati...
Experimental simulation of hybrid quantum systems and entanglement on a quantum computer
Farai Mazhandu, Kayleigh Mathieson, C. Coleman +1 more·Nov 3, 2019
We propose the utilization of the IBM Quantum Experience quantum computing system to simulate different scenarios involving common hybrid quantum system components, the Nitrogen Vacancy Centre (NV centre) and the Flux Qubit. We perform a series of th...
Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms
Young-Hyun Oh, Hamed Mohammadbagherpoor, P. Dreher +3 more·Nov 1, 2019
The design of a good algorithm to solve NP-hard combinatorial approximation problems requires specific domain knowledge about the problems and often needs a trial-and-error problem solving approach. Graph coloring is one of the essential fields to pr...
Quantum Circuit Parameters Learning with Gradient Descent Using Backpropagation
Masaya Watabe, Kodai Shiba, Masaru Sogabe +2 more·Oct 31, 2019
Quantum computing has the potential to outperform classical computers and is expected to play an active role in various fields. In quantum machine learning, a quantum computer has been found useful for enhanced feature representation and high dimensi...
Quantum approximate Bayesian computation for NMR model inference
Dries Sels, Hesam Dashti, S. Mora +2 more·Oct 31, 2019
Recent technological advances may lead to the development of small-scale quantum computers that are capable of solving problems that cannot be tackled with classical computers. A limited number of algorithms have been proposed and their relevance to ...
Collective optimization for variational quantum eigensolvers
Dan-Bo Zhang, Tao Yin·Oct 30, 2019
Variational quantum eigensolver (VQE) optimizes parameterized eigenstates of a Hamiltonian on a quantum processor by updating parameters with a classical computer. Such a hybrid quantum-classical optimization serves as a practical way to leverage up ...
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
Akshay Ajagekar, T. Humble, F. You·Oct 29, 2019
Abstract Quantum computing (QC) has gained popularity due to its unique capabilities that are quite different from that of classical computers in terms of speed and methods of operations. This paper proposes hybrid models and methods that effectively...
Multilevel Combinatorial Optimization across Quantum Architectures
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, C. Negre +3 more·Oct 22, 2019
Emerging quantum processors provide an opportunity to explore new approaches for solving traditional problems in the post Moore’s law supercomputing era. However, the limited number of qubits makes it infeasible to tackle massive real-world datasets ...
Quantum fast Poisson solver: the algorithm and complete and modular circuit design
Shengbin Wang, Zhimin Wang, Wendong Li +3 more·Oct 22, 2019
The Poisson equation has applications across many areas of physics and engineering, such as the dynamic process simulation of ocean current. Here we present a quantum algorithm for solving Poisson equation, as well as a complete and modular circuit d...
Spin Quintet in a Silicon Double Quantum Dot: Spin Blockade and Relaxation
T. Lundberg, T. Lundberg, Jing Li +14 more·Oct 22, 2019
Spins in gate-defined silicon quantum dots are promising candidates for implementing large-scale quantum computing. To read the spin state of these qubits, the mechanism that has provided the highest fidelity is spin-to-charge conversion via singlet-...
Hybrid purification and sampling approach for thermal quantum systems
J. Chen, E. Stoudenmire·Oct 21, 2019
We propose an algorithm which combines the beneficial aspects of two different methods for studying finite-temperature quantum systems with tensor networks. One approach is the ancilla method, which gives high-precision results but scales poorly at l...