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.

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.

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.

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 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 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.

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.

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.

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.

The book series Quantum Science and Technology is dedicated to one of today's most active and rapidly expanding fields of research and development.In particular, the series will be a showcase for the growing number of experimental implementations and practical applications of quantum systems.These will include, but are not restricted to: quantum information processing, quantum computing, and quantum simulation; quantum communication and quantum cryptography; entanglement and other quantum resources; quantum interfaces and hybrid quantum systems; quantum memories and quantum repeaters; measurem...

A brief review on the experimental efforts towards the large-scale superconducting quantum computer, including qubit design, quantum control, readout techniques, and the implementations of error correction and quantum algorithms is provided.

Nowadays, quantum computing has reached the engineering phase, with fully-functional quantum processors integrating hundreds of noisy qubits. Yet – to fully unveil the potential of quantum computing out of the labs into the business reality – the challenge ahead is to substantially scale the qubit number, reaching orders of magnitude exceeding thousands of fault-tolerant qubits. To this aim, the distributed quantum computing paradigm is recognized as the key solution for scaling the number of qubits. Indeed, accordingly to such a paradigm, multiple small-to-moderate-scale quantum processors co...

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.