Top Research Papers on Quantum Computing

An attempt was made to compile information about quantum computers in a consistent logical scheme, in which at a basic level, without deep immersion in mathematics and the structure of the quantum world, it was explained what a quantum computer is, what principles it works on.

This fundamental gives a brief overview of the three layers of a quantum computer: hardware, system software, and application layer.

It is sure that quantum computing will be the main driver for a new software engineering golden age during the present decade of the 2020s, due to its various promising applications.

The classical techniques used by the financial industry is outlined and the potential advantages and limitations of quantum techniques are discussed, as well as challenges that physicists could help tackle.

An end-to-end workflow for solving a problem in condensed matter physics on a quantum computer that serves to highlight some of Qiskit's capabilities, for example the representation and optimization of circuits at various abstraction levels, its scalability and retargetability to new gates, and the use of quantum-classical computations via dynamic circuits.

A state-of-the-art analysis of accurate energy measurements on a quantum computer for computational catalysis, using improved quantum algorithms with more than an order of magnitude improvement over the best previous algorithms.

This work introduces the concept of a "qubit excitation", which compared to a fermionic excitation, does not account for fermionics anti-commutation relations, and constructs circuits, optimized in terms of CNOT gates, that perform single and double qubit excitations.

This perspective article discusses the different implementations of quantum neuromorphic networks with digital and analog circuits, highlight their respective advantages, and review exciting recent experimental results.

This review presents strategies employed to construct quantum algorithms for quantum chemistry, with the goal that quantum computers will eventually answer presently inaccessible questions, for example, in transition metal catalysis or important biochemical reactions.

The use of microwave signals and systems in quantum computing are reviewed, with specific reference to three leading quantum computing platforms: trapped atomic ion qubits, spin qubits in semiconductors, and superconducting qubits.

This review provides a self‐contained introduction to emerging algorithms for the simulation of Hamiltonian dynamics and eigenstates, with emphasis on their applications to the electronic structure in molecular systems.

The aim of this review is to introduce the promise and limitations of emerging quantum computing technologies in the areas of computational molecular biology and bioinformatics.

Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts. We have not yet reached the advent of useful quantum computation, but when we do, it will affect nearly all scientific disciplines. In this review, we examine how current quantum algorithms could revolutionize computational biology and bioinformatics. There are potential benefits across the entire field, from the ability to process vast amounts of information and run machine learning algorithms far more efficiently, to algorithms for quantum simulation that are poised to impr...

It is found that standard error metrics are poor predictors of whether a program will run successfully on today’s hardware, and that current processors vary widely in their sensitivity to program structure.

A quantum computation scheme where the same measurements used to generate entanglement can also be used to achieve fault-tolerance leading to an increased tolerance to errors leading to a model for fault tolerant quantum computing constructed from physical primitives readily accessible in photonic systems.

A hybrid quantum-classical algorithm for solving many-electron problems is developed, enabling the simulation, with the aid of 16 qubits on a quantum processor, of chemical systems with up to 120 orbitals.

This work presents a quantum embedding theory for the calculation of strongly-correlated electronic states of active regions, with the rest of the system described within density functional theory, and performs calculations on quantum computers and shows that they yield results in agreement with those obtained with exact diagonalization on classical architectures.

This Letter introduces cluster parameters K and d of a quantum circuit and proposes a cluster simulation scheme that can simulate any (K,d)-clustered quantum circuit on a d-qubit machine in time roughly 2^{O(K)}, with further speedups possible when taking more fine-grained circuit structure into account.

The main characteristics of these devices from atoms / qubits to application interfaces are reviewed, and a classification of a wide variety of tasks that can already be addressed in a computationally efficient manner in the Noisy Intermediate Scale Quantum era is proposed.

This paper identifies 24 different use cases of quantum computing and proposes an application-centric approach for the industrialization of the technology based on proven business impact by formalizing high-value use cases into well-described reference problems and benchmarks.