Machine learning and the physical sciences
Machine learning (ML) encompasses a broad range of algorithms and modeling tools used
for a vast array of data processing tasks, which has entered most scientific disciplines in …
for a vast array of data processing tasks, which has entered most scientific disciplines in …
The randomized measurement toolbox
Programmable quantum simulators and quantum computers are opening unprecedented
opportunities for exploring and exploiting the properties of highly entangled complex …
opportunities for exploring and exploiting the properties of highly entangled complex …
Predicting many properties of a quantum system from very few measurements
Predicting the properties of complex, large-scale quantum systems is essential for
develo** quantum technologies. We present an efficient method for constructing an …
develo** quantum technologies. We present an efficient method for constructing an …
Neural-network quantum state tomography
The experimental realization of increasingly complex synthetic quantum systems calls for the
development of general theoretical methods to validate and fully exploit quantum resources …
development of general theoretical methods to validate and fully exploit quantum resources …
Self-verifying variational quantum simulation of lattice models
Hybrid classical–quantum algorithms aim to variationally solve optimization problems using
a feedback loop between a classical computer and a quantum co-processor, while …
a feedback loop between a classical computer and a quantum co-processor, while …
Learning quantum systems
The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …
quantum systems of increasing complexity, with key applications in computation, simulation …
Probing Rényi entanglement entropy via randomized measurements
Entanglement is a key feature of many-body quantum systems. Measuring the entropy of
different partitions of a quantum system provides a way to probe its entanglement structure …
different partitions of a quantum system provides a way to probe its entanglement structure …
Quantum machine learning: from physics to software engineering
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …
technology and artificial intelligence. This review provides a two-fold overview of several key …
Observation of entangled states of a fully controlled 20-qubit system
We generate and characterize entangled states of a register of 20 individually controlled
qubits, where each qubit is encoded into the electronic state of a trapped atomic ion …
qubits, where each qubit is encoded into the electronic state of a trapped atomic ion …
Reconstructing quantum states with generative models
A major bottleneck in the development of scalable many-body quantum technologies is the
difficulty in benchmarking state preparations, which suffer from an exponential 'curse of …
difficulty in benchmarking state preparations, which suffer from an exponential 'curse of …