Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum spectral clustering
Iordanis Kerenidis, Jonas Landman·Jul 1, 2020
Spectral clustering is a powerful unsupervised machine learning algorithm for clustering data with non convex or nested structures. With roots in graph theory, it uses the spectral properties of the Laplacian matrix to project the data in a low dimen...
Multifractal Dynamics of the QREM.
T. Parolini, Gianni Mossi·Jul 1, 2020
We study numerically the population transfer protocol on the Quantum Random Energy Model and its relation to quantum computing, for system sizes of $n\leq 20$ quantum spins. We focus on the energy matching problem, i.e. finding multiple approximate s...
Just Like the Real Thing: Fast Weak Simulation of Quantum Computation
S. Hillmich, I. Markov, R. Wille·Jul 1, 2020
Quantum computers promise significant speedups in solving problems intractable for conventional computers but, despite recent progress, remain limited in scaling and availability. Therefore, quantum software and hardware development heavily rely on s...
Implementing a Fast Unbounded Quantum Fanout Gate Using Power-Law Interactions
Andrew Y. Guo, A. Deshpande, Su-Kuan Chu +6 more·Jul 1, 2020
The standard circuit model for quantum computation presumes the ability to directly perform gates between arbitrary pairs of qubits, which is unlikely to be practical for large-scale experiments. Power-law interactions with strength decaying as $1/r^...
From Pre-Quantum to Post-Quantum IoT Security: A Survey on Quantum-Resistant Cryptosystems for the Internet of Things
T. Fernández-Caramés·Jul 1, 2020
Although quantum computing is still in its nascent age, its evolution threatens the most popular public-key encryption systems. Such systems are essential for today’s Internet security due to their ability for solving the key distribution problem and...
Quantum optimal control with quantum computers: A hybrid algorithm featuring machine learning optimization
D. Castaldo, Marta Rosa, S. Corni·Jul 1, 2020
We develop a hybrid quantum-classical algorithm to solve an optimal population transfer problem for a molecule subject to a laser pulse. The evolution of the molecular wave function under the laser pulse is simulated on a quantum computer, while the ...
Quantum ensemble of trained classifiers
Ismael C. S. Araújo, A. J. D. Silva·Jul 1, 2020
Through superposition, a quantum computer is capable of representing an exponentially large set of states, according to the number of qubits available. Quantum machine learning is a subfield of quantum computing that explores the potential of quantum...
Territories of Parrondo's paradox and its relation with entanglement in quantum walks
Munsif Jan, N. A. Khan, G. Xianlong·Jun 30, 2020
Parrondo’s paradox is a well-known counterintuitive phenomenon, where the combination of unfavorable sit- uations can establish favorable ones. In this paper, we study one-dimensional discrete-time quantum walks, manipulating two different coins (two-...
Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks
Samuel Mugel, Carlos Kuchkovsky, E. Sanchez +4 more·Jun 30, 2020
In this paper we tackle the problem of dynamic portfolio optimization, i.e., determining the optimal trading trajectory for an investment portfolio of assets over a period of time, taking into account transaction costs and other possible constraints....
Quantum algorithm for Petz recovery channels and pretty good measurements
Andr'as Gily'en, S. Lloyd, I. Marvian +2 more·Jun 30, 2020
The Petz recovery channel plays an important role in quantum information science as an operation that approximately reverses the effect of a quantum channel. The pretty good measurement is a special case of the Petz recovery channel, and it allows fo...
Time-reversible and norm-conserving high-order integrators for the nonlinear time-dependent Schrödinger equation: Application to local control theory.
Julien Roulet, J. Vaníček·Jun 30, 2020
The explicit split-operator algorithm has been extensively used for solving not only linear but also nonlinear time-dependent Schrödinger equations. When applied to the nonlinear Gross-Pitaevskii equation, the method remains time-reversible, norm-con...
Coherent superconducting qubits from a subtractive junction fabrication process
A. Stehli, J. Brehm, Tim Wolz +6 more·Jun 30, 2020
Josephson tunnel junctions are the centerpiece of almost any superconducting electronic circuit, including qubits. Typically, the junctions for qubits are fabricated using shadow evaporation techniques to reduce dielectric loss contributions from the...
The Standard Model, The Exceptional Jordan Algebra, and Triality
Latham Boyle·Jun 29, 2020
Jordan, Wigner and von Neumann classified the possible algebras of quantum mechanical observables, and found they fell into 4 "ordinary" families, plus one remarkable outlier: the exceptional Jordan algebra. We point out an intriguing relationship be...
Measurements of Quantum Hamiltonians with Locally-Biased Classical Shadows
Charles Hadfield, S. Bravyi, Rudy Raymond +1 more·Jun 29, 2020
Obtaining precise estimates of quantum observables is a crucial step of variational quantum algorithms. We consider the problem of estimating expectation values of quantum Hamiltonians, obtained on states prepared on a quantum computer. We propose a ...
Improved Quantum State Tomography for Superconducting Quantum Computing Systems
T. Xin·Jun 29, 2020
Quantum device characterization via state tomography plays an important role in both validating quantum hardware and processing quantum information, unfortunately with the exponential number of the measurements. As one of the main stream quantum plat...
Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer
Elijah Pelofske, Georg Hahn, H. Djidjev·Jun 29, 2020
NP-hard problems such as the maximum clique or minimum vertex cover problems, two of Karp’s 21 NP-hard problems, have several applications in computational chemistry, biochemistry and computer network security. Adiabatic quantum annealers can search ...
Reinforcement Learning for Digital Quantum Simulation.
Adrien Bolens, M. Heyl·Jun 29, 2020
Digital quantum simulation on quantum computers provides the potential to simulate the unitary evolution of any many-body Hamiltonian with bounded spectrum by discretizing the time evolution operator through a sequence of elementary quantum gates. A ...
The impacts of optimization algorithm and basis size on the accuracy and efficiency of variational quantum eigensolver based on unitary coupled cluster ansatz
Xian-Hu Zha, Chao Zhang, Deng-Ping Fan +3 more·Jun 29, 2020
Variational quantum eigensolver (VQE) is demonstrated to be the promising methodology for quantum chemistry based on near-term quantum devices. However, many problems are yet to be investigated for this methodology, such as the influences of optimiza...
Proof of monotonic increase in the cost function for Krotov algorithm for open quantum systems
T. Shetty, Sai Vinjanampathy·Jun 29, 2020
A great number of quantum control papers have used one of the variants of the monotonically convergent variational control algorithm of Krotov (as described in Maday and Turinici (2003), Tannor et al. (1992), Zhu and Rabitz (1998), etc). The paper "S...
Amplitude estimation via maximum likelihood on noisy quantum computer
Tomoki Tanaka, Yohichi Suzuki, Shumpei Uno +3 more·Jun 29, 2020
Recently we find several candidates of quantum algorithms that may be implementable in near-term devices for estimating the amplitude of a given quantum state, which is a core subroutine in various computing tasks such as the Monte Carlo methods. One...