Quantum simulation for high-energy physics
It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the
US decadal particle-physics community planning, and in fact until recently, this was not …
US decadal particle-physics community planning, and in fact until recently, this was not …
A review on quantum approximate optimization algorithm and its variants
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …
variational quantum algorithm that aims to solve combinatorial optimization problems that …
Quantum information processing with superconducting circuits: a review
G Wendin - Reports on Progress in Physics, 2017 - iopscience.iop.org
During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …
physical devices to becoming contenders for near-future useful and scalable quantum …
Perspective on the current state-of-the-art of quantum computing for drug discovery applications
Computational chemistry is an essential tool in the pharmaceutical industry. Quantum
computing is a fast evolving technology that promises to completely shift the computational …
computing is a fast evolving technology that promises to completely shift the computational …
[HTML][HTML] Systematic literature review: Quantum machine learning and its applications
Quantum physics has changed the way we understand our environment, and one of its
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …
Variational quantum simulators based on waveguide QED
Waveguide QED simulators are analog quantum simulators made by quantum emitters
interacting with one-dimensional photonic band gap materials. One of their remarkable …
interacting with one-dimensional photonic band gap materials. One of their remarkable …
Hybrid quantum-classical algorithms in the noisy intermediate-scale quantum era and beyond
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 …
computing, particularly when considering the noisy intermediate-scale quantum (NISQ) era …
Digital technologies for a net-zero energy future: A comprehensive review
The energy sector plays a vital role in achieving a sustainable net-zero future, and the
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …
[HTML][HTML] Quantum computing for near-term applications in generative chemistry and drug discovery
Highlights•Drug discovery is time consuming, expensive and experiences increasing
challenges.•Generation of new drug candidates is one of the major challenges.•Quantum …
challenges.•Generation of new drug candidates is one of the major challenges.•Quantum …
Avoiding barren plateaus via transferability of smooth solutions in a Hamiltonian variational ansatz
A large ongoing research effort focuses on variational quantum algorithms (VQAs),
representing leading candidates to achieve computational speed-ups on current quantum …
representing leading candidates to achieve computational speed-ups on current quantum …