Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

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28,891

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551

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13,881 papers in 12 months (-10% vs prior quarter)

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Papers by research theme (12 months). Hover for details.

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

6,349 papers found

Classical simulation of bosonic linear-optical random circuits beyond linear light cone

Changhun Oh, Youngrong Lim, Bill Fefferman +1 more·Feb 19, 2021

Sampling from probability distributions of quantum circuits is a fundamentally and practically important task which can be used to demonstrate quantum supremacy using noisy intermediate-scale quantum devices. In the present work, we examine classical...

Physics

Clustering by quantum annealing on the three-level quantum elements qutrits

V. Zobov, I. Pichkovskiy·Feb 18, 2021

Clustering is grouping of data by the proximity of some properties. We report on the possibility of increasing the efficiency of clustering of points in a plane using artificial quantum neural networks after the replacement of the two-level neurons c...

Computer SciencePhysics

SU(2) hadrons on a quantum computer via a variational approach

Y. Y. Atas, Jinglei Zhang, R. Lewis +3 more·Feb 17, 2021

Quantum computers have the potential to create important new opportunities for ongoing essential research on gauge theories. They can provide simulations that are unattainable on classical computers such as sign-problem afflicted models or time evolu...

PhysicsMedicine

Hardware-Efficient Leakage-Reduction Scheme for Quantum Error Correction with Superconducting Transmon Qubits

F. Battistel, B. Varbanov, B. Terhal·Feb 16, 2021

Leakage outside of the qubit computational subspace poses a threatening challenge to quantum error correction (QEC). We propose a scheme using two leakage-reduction units (LRUs) that mitigate these issues for a transmon-based surface code, without re...

PhysicsComputer Science

Efficient assessment of process fidelity

S. Greenaway, F. Sauvage, K. Khosla +1 more·Feb 16, 2021

The accurate implementation of quantum gates is essential for the realisation of quantum algorithms and digital quantum simulations. This accuracy may be increased on noisy hardware through the variational optimisation of gates, however the experimen...

Physics

Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition

Y. Kawashima, Erika Lloyd, Marc P. Coons +12 more·Feb 14, 2021

Quantum computers have the potential to advance material design and drug discovery by performing costly electronic structure calculations. A critical aspect of this application requires optimizing the limited resources of the quantum hardware. Here, ...

Physics

Efficient simulation of ultrafast quantum nonlinear optics with matrix product states

Ryotatsu Yanagimoto, Edwin Ng, L. Wright +2 more·Feb 11, 2021

Ultra-short pulses propagating in nonlinear nanophotonic waveguides can simultaneously leverage both temporal and spatial field confinement, promising a route towards single-photon nonlinearities in an all-photonic platform. In this multimode quantum...

Physics

Exponential suppression of bit or phase errors with cyclic error correction

Zijun Chen, K. Satzinger, J. Atalaya +93 more·Feb 11, 2021

Realizing the potential of quantum computing requires sufficiently low logical error rates1. Many applications call for error rates as low as 10−15 (refs. 2–9), but state-of-the-art quantum platforms typically have physical error rates near 10−3 (ref...

PhysicsMedicine

Average fidelity and fidelity deviation in noisy quantum teleportation

Wooyeong Song, Junghee Ryu, Kyunghyun Baek +1 more·Feb 10, 2021

We analyze the average fidelity (say, F) and the fidelity deviation (say, D) in noisy-channel quantum teleportation. Here, F represents how well teleportation is performed on average and D quantifies whether the teleportation is performed impartially...

PhysicsMathematics

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers

Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin +3 more·Feb 10, 2021

Combinatorial optimization on near-term quantum devices is a promising path to demonstrating quantum advantage. However, the capabilities of these devices are constrained by high noise or error rates. In this article, inspired by the variational quan...

PhysicsComputer Science

Simulating Collider Physics on Quantum Computers Using Effective Field Theories.

C. Bauer, B. Nachman, M. Freytsis·Feb 9, 2021

Simulating the full dynamics of a quantum field theory over a wide range of energies requires exceptionally large quantum computing resources. Yet for many observables in particle physics, perturbative techniques are sufficient to accurately model al...

MedicinePhysics

Quantum machine learning with adaptive linear optics

Ulysse Chabaud, D. Markham, A. Sohbi·Feb 8, 2021

We study supervised learning algorithms in which a quantum device is used to perform a computational subroutine – either for prediction via probability estimation, or to compute a kernel via estimation of quantum states overlap. We design implementat...

Computer SciencePhysics

Long-time simulations with high fidelity on quantum hardware

J. Gibbs, Kaitlin Gili, Zoe Holmes +5 more·Feb 8, 2021

Moderate-size quantum computers are now publicly accessible over the cloud, opening the exciting possibility of performing dynamical simulations of quantum systems. However, while rapidly improving, these devices have short coherence times, limiting ...

Computer SciencePhysicsMathematics

Continuous-time dynamics and error scaling of noisy highly entangling quantum circuits

Kaelan Donatella, Zakari Denis, A. Le Boité +1 more·Feb 8, 2021

We investigate the continuous-time dynamics of highly-entangling intermediate-scale quantum circuits in the presence of dissipation and decoherence. By compressing the Hilbert space to a time-dependent"corner"subspace that supports faithful represent...

Physics

Quantum Divide and Compute: Exploring the Effect of Different Noise Sources

T. Ayral, François-Marie Le Régent, Zain Saleem +2 more·Feb 7, 2021

Our recent work (Ayral et al. in Proceedings of IEEE computer society annual symposium on VLSI, ISVLSI, pp 138–140, 2020. https://doi.org/10.1109/ISVLSI49217.2020.00034) showed the first implementation of the Quantum Divide and Compute (QDC) method, ...

PhysicsComputer Science

Strongly Universal Hamiltonian Simulators

Leo Zhou, D. Aharonov·Feb 5, 2021

A universal family of Hamiltonians can be used to simulate any local Hamiltonian by encoding its full spectrum as the low-energy subspace of a Hamiltonian from the family. Many spin-lattice model Hamiltonians—such as Heisenberg or XY interaction on t...

Physics

Quantum walks on a programmable two-dimensional 62-qubit superconducting processor

M. Gong, Shiyu Wang, C. Zha +33 more·Feb 4, 2021

Simulating quantum walkers Quantum walks are the quantum mechanical analogs of classical random walks, describing the propagation of a quantum walker across a lattice, and find application in developing algorithms for simulating quantum many-body sys...

PhysicsMedicine

Decoding of Quantum Data-Syndrome Codes via Belief Propagation

Kao-Yueh Kuo, Ethan Chern, C. Lai·Feb 3, 2021

Quantum error correction is necessary to protect logical quantum states and operations. However, no meaningful data protection can be made when the syndrome extraction is erroneous due to faulty measurement gates. Quantum data-syndrome (DS) codes are...

PhysicsComputer ScienceMathematics

Error mitigation by training with fermionic linear optics

A. Montanaro, Stasja Stanisic·Feb 3, 2021

Noisy intermediate-scale quantum (NISQ) computers could solve quantum-mechanical simulation problems that are beyond the capabilities of classical computers. However, NISQ devices experience significant errors which, if not corrected, can render phys...

Physics

Bandgap optimization in combinatorial graphs with tailored ground states: application in quantum annealing

Siddharth Srivastava, V. Sundararaghavan·Jan 31, 2021

A mixed-integer linear programming (MILP) formulation is presented for parameter estimation of the Potts model. Two algorithms are developed; the first method estimates the parameters such that the set of ground states replicate the user-prescribed d...

Computer ScienceMathematicsPhysics
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