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 non-algorithmic approach to “programming” quantum computers via machine learning
Nathan L. Thompson, J. Steck, E. Behrman·Jul 16, 2020
Major obstacles remain to the implementation of macroscopic quantum computing: hardware problems of noise, decoherence, and scaling; software problems of error correction; and, most important, algorithm construction. Finding truly quantum algorithms ...
Electrical control of coherent spin rotation of a single-spin qubit
Xiaoche Wang, Yuxuan Xiao, Chuanpu Liu +7 more·Jul 15, 2020
Nitrogen vacancy (NV) centers, optically active atomic defects in diamond, have attracted tremendous interest for quantum sensing, network, and computing applications due to their excellent quantum coherence and remarkable versatility in a real, ambi...
Hybrid divide-and-conquer approach for tree search algorithms
Mathys Rennela, Sebastiaan Brand, A. Laarman +1 more·Jul 14, 2020
One of the challenges of quantum computers in the near- and mid- term is the limited number of qubits we can use for computations. Finding methods that achieve useful quantum improvements under size limitations is thus a key question in the field. In...
Exploring complex graphs using three-dimensional quantum walks of correlated photons
M. Ehrhardt, R. Keil, L. Maczewsky +3 more·Jul 10, 2020
Correlated photons undergo quantum walks on 3D graphs governed by their spatial and polarization degrees of freedom. Graph representations are a powerful concept for solving complex problems across natural science, as patterns of connectivity can giv...
Statistical mechanics of quantum error correcting codes
Yaodong Li, M. Fisher·Jul 7, 2020
We study stabilizer quantum error-correcting codes (QECC) generated under hybrid dynamics of local Clifford unitaries and local Pauli measurements in one dimension. Building upon 1) a general formula relating the error-susceptibility of a subregion t...
Preparing symmetry broken ground states with variational quantum algorithms
N. Vogt, S. Zanker, Jan-Michael Reiner +3 more·Jul 3, 2020
One of the most promising applications for near term quantum computers is the simulation of physical quantum systems, particularly many-electron systems in chemistry and condensed matter physics. In solid state physics, finding the correct symmetry b...
Rydberg noisy dressing and applications in making soliton molecules and droplet quasicrystals
M. Khazali·Jul 2, 2020
The current advances in the field of ultra-cold atoms and atomic traps recall new controllable long-range interactions. These interactions are expected to extend the range of realizable quantum algorithms as well as providing new control mechanisms f...
Quantum Simulation with Hybrid Tensor Networks.
Xiao Yuan, Jinzhao Sun, Junyu Liu +2 more·Jul 2, 2020
Tensor network theory and quantum simulation are, respectively, the key classical and quantum computing methods in understanding quantum many-body physics. Here, we introduce the framework of hybrid tensor networks with building blocks consisting of ...
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 ...
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....
QPSO-CD: quantum-behaved particle swarm optimization algorithm with Cauchy distribution
A. Bhatia, M. Saggi, Shenggen Zheng·Jun 27, 2020
Motivated by the particle swarm optimization (PSO) and quantum computing theory, we have presented a quantum variant of PSO (QPSO) mutated with Cauchy operator and natural selection mechanism (QPSO-CD) from evolutionary computations. The performance ...
Quantum algorithmic differentiation
G. Colucci, F. Giacosa·Jun 23, 2020
In this work we present an algorithm to perform algorithmic differentiation in the context of quantum computing. We present two versions of the algorithm, one which is fully quantum and one which employees a classical step (hybrid approach). Since th...
Accelerated variational algorithms for digital quantum simulation of many-body ground states
Chufan Lyu, V. Montenegro, A. Bayat·Jun 16, 2020
One of the key applications for the emerging quantum simulators is to emulate the ground state of many-body systems, as it is of great interest in various fields from condensed matter physics to material science. Traditionally, in an analog sense, ad...
A dissymmetric [Gd2] coordination molecular dimer hosting six addressable spin qubits
F. Luis, P. Alonso, O. Roubeau +6 more·Jun 15, 2020
Artificial magnetic molecules can host several spin qubits, which could then implement small-scale algorithms. In order to become of practical use, such molecular spin processors need to increase the available computational space and warrant universa...
Symmetry-Assisted Preparation of Entangled Many-Body States on a Quantum Computer.
D. Lacroix·Jun 11, 2020
Starting from the quantum-phase-estimate (QPE) algorithm, a method is proposed to construct entangled states that describe correlated many-body systems on quantum computers. Using operators for which the discrete set of eigenvalues is known, the QPE ...
Engineering the Cost Function of a Variational Quantum Algorithm for Implementation on Near-Term Devices
S. Premaratne, A. Matsuura·Jun 6, 2020
Variational hybrid quantum-classical algorithms are some of the most promising workloads for near-term quantum computers without error correction. The aim of these variational algorithms is to guide the quantum system to a target state that minimizes...
Quantum computation of silicon electronic band structure.
F. Cerasoli, Kyle Sherbert, J. Sławińska +1 more·Jun 6, 2020
Development of quantum architectures during the last decade has inspired hybrid classical-quantum algorithms in physics and quantum chemistry that promise simulations of fermionic systems beyond the capability of modern classical computers, even befo...
Quantum computer-aided design: digital quantum simulation of quantum processors
T. Kyaw, Tim Menke, Sukin Sim +5 more·Jun 4, 2020
With the increasing size of quantum processors, sub-modules that constitute the processor hardware will become too large to accurately simulate on a classical computer. Therefore, one would soon have to fabricate and test each new design primitive an...
Algorithms for Quantum Simulation at Finite Energies
Sirui Lu, M. Bañuls, I. Cirac·Jun 4, 2020
We consider a quantum algorithm to compute expectation values of observables in a finite energy interval for many-body problems. It is based on a filtering operator, similar to quantum phase estimation, which projects out energies outside that interv...
Experimental demonstration of a quantum generative adversarial network for continuous distributions
A. Anand, J. Romero, M. Degroote +1 more·Jun 2, 2020
The potential advantage of machine learning in quantum computers is a topic of intense discussion in the literature. Theoretical, numerical and experimental explorations will most likely be required to understand its power. There has been different a...