The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …

Quantum computing is emerging as a groundbreaking force, promising to redefine the
boundaries of technology and business. This paper provides an in-depth examination of the …

Hybrid quantum-classical algorithms are central to much of the current research in quantum
computing, particularly when considering the noisy intermediate-scale quantum (NISQ) era …

A quantum computer can solve hard problems, such as prime factoring,, database
searching, and quantum simulation, at the cost of needing to protect fragile quantum states …

Quantum algorithms use the principles of quantum mechanics, such as, for example,
quantum superposition, in order to solve particular problems outperforming standard …

The Grover quantum search algorithm is a hallmark application of a quantum computer with
a well-known speedup over classical searches of an unsorted database. Here, we report …

Quantum control of individual spins in condensed-matter devices is an emerging field with a
wide range of applications, from nanospintronics, to quantum computing. The electron …

We describe in detail the theory underpinning the measurement of density matrices of a pair
of quantum two-level systems (“qubits”). Our particular emphasis is on qubits realized by the …

In information processing, as in physics, our classical world view provides an incomplete
approximation to an underlying quantum reality. Quantum effects like interference and …

Quantum computers, which harness the superposition and entanglement of physical states,
could outperform their classical counterparts in solving problems with technological impact …