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 …
Quantum algorithms for quantum chemistry and quantum materials science
As we begin to reach the limits of classical computing, quantum computing has emerged as
a technology that has captured the imagination of the scientific world. While for many years …
a technology that has captured the imagination of the scientific world. While for many years …
Quantum chemistry in the age of quantum computing
Practical challenges in simulating quantum systems on classical computers have been
widely recognized in the quantum physics and quantum chemistry communities over the …
widely recognized in the quantum physics and quantum chemistry communities over the …
Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution
The accurate computation of Hamiltonian ground, excited and thermal states on quantum
computers stands to impact many problems in the physical and computer sciences, from …
computers stands to impact many problems in the physical and computer sciences, from …
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …
of novel materials. Computationally hard tasks in materials science stretch the limits of …
A survey on quantum computing technology
L Gyongyosi, S Imre - Computer Science Review, 2019 - Elsevier
The power of quantum computing technologies is based on the fundamentals of quantum
mechanics, such as quantum superposition, quantum entanglement, or the no-cloning …
mechanics, such as quantum superposition, quantum entanglement, or the no-cloning …
Challenges and opportunities in quantum optimization
Quantum computers have demonstrable ability to solve problems at a scale beyond brute-
force classical simulation. Interest in quantum algorithms has developed in many areas …
force classical simulation. Interest in quantum algorithms has developed in many areas …
Machine learning & artificial intelligence in the quantum domain: a review of recent progress
V Dunjko, HJ Briegel - Reports on Progress in Physics, 2018 - iopscience.iop.org
Quantum information technologies, on the one hand, and intelligent learning systems, on the
other, are both emergent technologies that are likely to have a transformative impact on our …
other, are both emergent technologies that are likely to have a transformative impact on our …
Quantum machine learning
Fuelled by increasing computer power and algorithmic advances, machine learning
techniques have become powerful tools for finding patterns in data. Quantum systems …
techniques have become powerful tools for finding patterns in data. Quantum systems …
Quantum optimization using variational algorithms on near-term quantum devices
Universal fault-tolerant quantum computers will require error-free execution of long
sequences of quantum gate operations, which is expected to involve millions of physical …
sequences of quantum gate operations, which is expected to involve millions of physical …