Quantum Brain

Papers

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

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28,582

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299

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Research Volume

13,642 papers in 12 months (-16% vs prior quarter)

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

6,294 papers found

QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA

R. Shaydulin, Kunal Marwaha, J. Wurtz +1 more·Oct 11, 2021

Understanding the best known parameters, performance, and systematic behavior of the Quantum Approximate Optimization Algorithm (QAOA) remain open research questions, even as the algorithm gains popularity. We introduce QAOAKit, a Python toolkit for ...

Computer SciencePhysics

QuOp_MPI: A framework for parallel simulation of quantum variational algorithms

Edric Matwiejew, Jingbo B. Wang·Oct 8, 2021

QuOp MPI is a Python package designed for parallel simulation of quantum variational algorithms. It presents an object-orientated approach to quantum variational algorithm design and utilises MPI-parallelised sparse-matrix exponentiation, the fast Fo...

Computer SciencePhysics

Noisy quantum amplitude estimation without noise estimation

Tomoki Tanaka, Shumpei Uno, Tamiya Onodera +2 more·Oct 8, 2021

Many quantum algorithms contain an important subroutine, the quantum amplitude estimation. As the name implies, this is essentially the parameter estimation problem and thus can be handled via the established statistical estimation theory. However, t...

Physics

Qubit-efficient encoding scheme for quantum simulations of electronic structure

Yu Shee, Pei-Kai Tsai, Chengyun Hong +2 more·Oct 8, 2021

Simulating electronic structure on a quantum computer requires encoding of fermionic systems onto qubits. Common encoding methods transform a fermionic system of $N$ spin-orbitals into an $N$-qubit system, but many of the fermionic configurations do ...

Physics

Towards quantum simulations in particle physics and beyond on noisy intermediate-scale quantum devices

L. Funcke, T. Hartung, K. Jansen +4 more·Oct 7, 2021

We review two algorithmic advances that bring us closer to reliable quantum simulations of model systems in high-energy physics and beyond on noisy intermediate-scale quantum (NISQ) devices. The first method is the dimensional expressivity analysis o...

PhysicsMedicine

Variational Determination of Multiqubit Geometrical Entanglement in Noisy Intermediate-Scale Quantum Computers

A. Muñoz-Moller, L. Pereira, L. Zambrano +2 more·Oct 7, 2021

Current noise levels in physical realizations of qubits and quantum operations limit the applicability of conventional methods to characterize entanglement. In this adverse scenario, we follow a quantum variational approach to estimate the geometric ...

Physics

Digital quantum simulation of strong correlation effects with iterative quantum phase estimation over the variational quantum eigensolver algorithm: $\mathrm{H_4}$ on a circle as a case study

D. Halder, V. SrinivasaPrasannaa, Valay Agarawal +1 more·Oct 6, 2021

The iterative quantum phase estimation algorithm, applied to calculating the ground state energies of quantum chemical systems, is theoretically appealing in its wide scope of being able to handle both weakly and strongly correlated regimes. However,...

Physics

First steps towards the quantum simulation of jet quenching

J. Barata, C. Salgado·Oct 6, 2021

The leading order $\alpha_s$ effect in jet quenching corresponds to the broadening of the jet's transverse momentum, due to the multiple interactions with the underlying medium. A complete understanding of momentum broadening is critical for the succ...

Physics

Spectral density reconstruction with Chebyshev polynomials.

J. Sobczyk, A. Roggero·Oct 5, 2021

Accurate calculations of the spectral density in a strongly correlated quantum many-body system are of fundamental importance to study its dynamics in the linear response regime. Typical examples are the calculation of inclusive and semiexclusive sca...

MedicinePhysics

Lossy compression of statistical data using quantum annealer

B. Yoon, Nga T. T. Nguyen, Chia-Cheng Chang +1 more·Oct 5, 2021

We present a new lossy compression algorithm for statistical floating-point data through a representation learning with binary variables. The algorithm finds a set of basis vectors and their binary coefficients that precisely reconstruct the original...

MedicinePhysicsMathematics

Detecting confined and deconfined spinons in dynamical quantum simulations

Qiao Li, J. Cui, Wei Li·Oct 5, 2021

Dynamical spin-structure factor (DSF) contains fingerprint information of collective excitations in interacting quantum spin systems. In solid state experiments, DSF can be measured through neutron scatterings. However, it is in general challenging t...

Physics

Feasible Architecture for Quantum Fully Convolutional Networks

Yusui Chen, Wenhao Hu, Xiang Li·Oct 5, 2021

Fully convolutional networks are robust in performing semantic segmentation, with many applications from signal processing to computer vision. From the fundamental principles of variational quantum algorithms, we propose a feasible pure quantum archi...

Computer SciencePhysics

Classical Simulation of Boson Sampling Based on Graph Structure.

Changhun Oh, Youngrong Lim, Bill Fefferman +1 more·Oct 4, 2021

Boson sampling is a fundamentally and practically important task that can be used to demonstrate quantum supremacy using noisy intermediate-scale quantum devices. In this Letter, we present classical sampling algorithms for single-photon and Gaussian...

PhysicsMedicine

Towards the simulation of large scale protein–ligand interactions on NISQ-era quantum computers

F. Malone, R. Parrish, Alicia R. Welden +6 more·Oct 4, 2021

We explore the use of symmetry-adapted perturbation theory (SAPT) as a simple and efficient means to compute interaction energies between large molecular systems with a hybrid method combining NISQ-era quantum and classical computers. From the one- a...

PhysicsMedicine

Real-space spectral simulation of quantum spin models: Application to generalized Kitaev models

Francisco M. O. Brito, A. Ferreira·Oct 4, 2021

The proliferation of quantum fluctuations and long-range entanglement presents an outstanding challenge for the numerical simulation of interacting spin systems with exotic ground states. Here, we present a toolset of Chebyshev polynomial-based itera...

Physics

Experimental determination of a multiqubit ground state via a cluster mean-field algorithm

Z. Zhan, Y. Fei, C. Run +8 more·Oct 3, 2021

A quantum eigensolver is designed under a multi-layer cluster mean-field (CMF) algorithm by partitioning a quantum system into spatially-separated clusters. For each cluster, a reduced Hamiltonian is obtained after a partial average over its environm...

Physics

Coarse-grained intermolecular interactions on quantum processors

L. W. Anderson, M. Kiffner, P. Barkoutsos +3 more·Oct 3, 2021

Variational quantum algorithms (VQAs) are increasingly being applied in simulations of strongly-bound (covalently bonded) systems using full molecular orbital basis representations. The application of quantum computers to the weakly-bound intermolecu...

Physics

Truncated phase-based quantum arithmetic: Error propagation and resource reduction

G. White, C. Hill, L. Hollenberg·Oct 1, 2021

There are two important, and potentially interconnecting, avenues to the realisation of large-scale quantum algorithms: improvement of the hardware, and reduction of resource requirements demanded by algorithm components. In focusing on the latter, o...

Physics

qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package

J. Teske, H. Bluhm·Oct 1, 2021

Realistic modelling of qubit systems including noise and constraints imposed by control hardware is required for performance prediction and control optimization of quantum processors. We introduce qopt, a software framework for simulating qubit dynam...

PhysicsComputer Science

Spiderweb Array: A Sparse Spin-Qubit Array

J. Boter, J. P. Dehollain, J. V. van Dijk +8 more·Oct 1, 2021

One of the main bottlenecks in the pursuit of a large-scale–chip-based quantum computer is the large number of control signals needed to operate qubit systems. As system sizes scale up, the number of terminals required to connect to off-chip control e...

Physics
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