Papers

Xun Gao, M. Kalinowski, Chi-Ning Chou +3 more·Dec 3, 2021

Demonstrating quantum advantage requires experimental implementation of a computational task that is hard to achieve using state-of-the-art classical systems. One approach is to perform sampling from a probability distribution associated with a class...

Ivana Miháliková, M. Friák, Matej Pivoluska +3 more·Dec 2, 2021

Quantum computers are reaching one crucial milestone after another. Motivated by their progress in quantum chemistry, we performed an extensive series of simulations of quantum-computer runs that were aimed at inspecting the best-practice aspects of ...

M. Vasmer, Aleksander Kubica·Dec 2, 2021

We introduce a morphing procedure that can be used to generate new quantum codes from existing quantum codes. In particular, we morph the 15-qubit Reed-Muller code to obtain a $[\![10,1,2]\!]$ code that is the smallest known stabilizer code with a fa...

Linghang Kong, Zi-Wen Liu·Dec 2, 2021

Quantum error correction and symmetries play central roles in quantum information science and physics. It is known that quantum error-correcting codes that obey (are covariant with respect to) continuous symmetries in a certain sense cannot correct e...

A. Morvan, Larry Chen, Jeffrey Larson +2 more·Dec 2, 2021

Fixed-frequency superconducting quantum processors are one of the most mature quantum computing architectures with high-coherence qubits and simple controls. However, high-fidelity multiqubit gates pose tight requirements on individual qubit frequenci...

C. Lavor, F. Marquezino, A. Oliveira +1 more·Dec 2, 2021

The Discretizable Molecular Distance Geometry Problem (DMDGP) aims to determine the three-dimensional protein structure using distance information from nuclear magnetic resonance experiments. The DMDGP has a finite number of candidate solutions and c...

M. H. Ram, V. Krithika, Priyanka Batra +1 more·Dec 2, 2021

The development of efficient algorithms that generate robust quantum controls is crucial for the realization of quantum technologies. The commonly used gradient-based optimization algorithms are limited by their sensitivity to the initial guess, whic...

A. Garg, Robin Kothari, Praneeth Netrapalli +1 more·Dec 2, 2021

We study the complexity of optimizing highly smooth convex functions. For a positive integer p, we want to find an -approximate minimum of a convex function f , given oracle access to the function and its first p derivatives, assuming that the pth de...

Jacob Hastrup, U. Andersen·Dec 2, 2021

The Gottesman-Kitaev-Preskill (GKP) code is a promising bosonic quantum error-correcting code, encoding logical qubits into a bosonic mode in such a way that many physically relevant noise types can be corrected effectively. A particularly relevant n...

Seungchan Seo, J. Bae·Dec 2, 2021

Quantum technologies available currently contain noise in general, often dubbed noisy intermediate-scale quantum systems. We here present the verification of noise in measurement readout errors in cloud-based quantum computing services, IBMQ and Rige...

Marco Maronese, Lorenzo Moro, Lorenzo Rocutto +1 more·Dec 1, 2021

Quantum compiling fills the gap between the computing layer of high-level quantum algorithms and the layer of physical qubits with their specific properties and constraints. Quantum compiling is a hybrid between the general-purpose compilers of compu...

Benjamin A. Cordier, Nicolas P. D. Sawaya, G. Guerreschi +1 more·Dec 1, 2021

Quantum computing holds substantial potential for applications in biology and medicine, spanning from the simulation of biomolecules to machine learning methods for subtyping cancers on the basis of clinical features. This potential is encapsulated b...

J. Mattsson, B. Smeets, Erik Thormarker·Dec 1, 2021

Quantum-resistant cryptography is cryptography that aims to deliver cryptographic functions and protocols that remain secure even if large-scale fault-tolerant quantum computers are built. NIST will soon announce the first selected public-key cryptog...

Seid Koudia, A. Cacciapuoti, M. Caleffi·Dec 1, 2021

Entanglement represents “the” key resource for several applications of quantum information processing, ranging from quantum communications to distributed quantum computing. Despite its fundamental importance, deterministic generation of maximally ent...

Ashutosh Kumar Singh, D. Saxena, J. Kumar +1 more·Dec 1, 2021

This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload prediction model for Cloud datacenter. It exploits the computational efficiency of quantum computing by encoding workload information into qubits and propagating thi...

ChunJun Cao·Dec 1, 2021

In this note, I review a recent approach to quantum gravity that “gravitizes” quantum mechanics by emerging geometry and gravity from complex quantum states. Drawing further insights from tensor network toy models in AdS/CFT, I propose that approxima...

Yuan-Yuan Zhao, Dong E. Liu·Dec 1, 2021

The realistic coherent errors could induce very different behaviors compared with their stochastic counterparts in the quantum error correction (QEC) and fault tolerant quantum computation. Their impacts are believed to be very subtle, more detriment...

Jordan S. Cotler, Hsin-Yuan Huang, J. McClean·Dec 1, 2021

It has been shown that the apparent advantage of some quantum machine learning algorithms may be efficiently replicated using classical algorithms with suitable data access -- a process known as dequantization. Existing works on dequantization compar...

L. Gálisová, Michał Kaczor·Dec 1, 2021

The ground state, magnetization scenario and the local bipartite quantum entanglement of a mixed spin-1/2 Ising–Heisenberg model in a magnetic field on planar lattices formed by identical corner-sharing bipyramidal plaquettes is examined by combining...

A. Holbrook·Dec 1, 2021

Abstract We propose a novel hybrid quantum computing strategy for parallel MCMC algorithms that generate multiple proposals at each step. This strategy makes the rate-limiting step within parallel MCMC amenable to quantum parallelization by using the...