Noisy intermediate-scale quantum algorithms
A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …
integer factorization and unstructured database search requires millions of qubits with low …
Quantum computing: A taxonomy, systematic review and future directions
Quantum computing (QC) is an emerging paradigm with the potential to offer significant
computational advantage over conventional classical computing by exploiting quantum …
computational advantage over conventional classical computing by exploiting quantum …
[HTML][HTML] A quantum engineer's guide to superconducting qubits
The aim of this review is to provide quantum engineers with an introductory guide to the
central concepts and challenges in the rapidly accelerating field of superconducting …
central concepts and challenges in the rapidly accelerating field of superconducting …
Compact ion-trap quantum computing demonstrator
Quantum information processing is steadily progressing from a purely academic discipline
towards applications throughout science and industry. Transitioning from lab-based, proof-of …
towards applications throughout science and industry. Transitioning from lab-based, proof-of …
[HTML][HTML] The quantum technologies roadmap: a European community view
Within the last two decades, quantum technologies (QT) have made tremendous progress,
moving from Nobel Prize award-winning experiments on quantum physics (1997: Chu …
moving from Nobel Prize award-winning experiments on quantum physics (1997: Chu …
Theory of overparametrization in quantum neural networks
The prospect of achieving quantum advantage with quantum neural networks (QNNs) is
exciting. Understanding how QNN properties (for example, the number of parameters M) …
exciting. Understanding how QNN properties (for example, the number of parameters M) …
Theory for equivariant quantum neural networks
Quantum neural network architectures that have little to no inductive biases are known to
face trainability and generalization issues. Inspired by a similar problem, recent …
face trainability and generalization issues. Inspired by a similar problem, recent …
Tackling the qubit map** problem for NISQ-era quantum devices
Due to little considerations in the hardware constraints, eg, limited connections between
physical qubits to enable two-qubit gates, most quantum algorithms cannot be directly …
physical qubits to enable two-qubit gates, most quantum algorithms cannot be directly …
[HTML][HTML] Quantum-assisted quantum compiling
Compiling quantum algorithms for near-term quantum computers (accounting for
connectivity and native gate alphabets) is a major challenge that has received significant …
connectivity and native gate alphabets) is a major challenge that has received significant …
Demonstrating a continuous set of two-qubit gates for near-term quantum algorithms
Quantum algorithms offer a dramatic speedup for computational problems in material
science and chemistry. However, any near-term realizations of these algorithms will need to …
science and chemistry. However, any near-term realizations of these algorithms will need to …