809 citations · 3.9k across the 28 of their papers we have counts for
28 papers
Observation of associative-memory retrieval and spin-glass phases on a photonic quantum simulator
Taira Giordani, Gennaro Zanfardino, Luca Leuzzi +16
Models of interacting complex systems provide the fundamental statistical physics reference frame for the study and the understanding of associative memories, machine learning, and…
Calibration of Quantum Devices via Robust Statistical Methods
Alexandra Ramôa, Raffaele Santagati, Nathan Wiebe
Bayesian inference is a widely used technique for real-time characterization of quantum systems. It excels in experimental characterization in the low data regime, and when the mea…
Multiphoton quantum simulation of the generalized Hopfield memory model
Gennaro Zanfardino, Stefano Paesani, Luca Leuzzi +5
In the present work, we introduce, develop, and investigate a connection between multiphoton quantum interference, a core element of emerging photonic quantum technologies, and Hop…
Improved precision scaling for simulating coupled quantum-classical dynamics
Sophia Simon, Raffaele Santagati, Matthias Degroote +3
We present a super-polynomial improvement in the precision scaling of quantum simulations for coupled classical-quantum systems in this paper. Such systems are found, for example,…
Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory
Cristian L. Cortes, Matthias Loipersberger, Robert M. Parrish +9
The efficient computation of observables beyond the total energy is a key challenge and opportunity for fault-tolerant quantum computing approaches in quantum chemistry. Here we co…
Fault-tolerant quantum computation of molecular observables
Mark Steudtner, Sam Morley-Short, William Pol +8
Over the past three decades significant reductions have been made to the cost of estimating ground-state energies of molecular Hamiltonians with quantum computers. However, compara…
Drug design on quantum computers
Raffaele Santagati, Alan Aspuru-Guzik, Ryan Babbush +12
Quantum computers promise to impact industrial applications, for which quantum chemical calculations are required, by virtue of their high accuracy. This perspective explores the c…
Learning Quantum Systems
Valentin Gebhart, Raffaele Santagati, Antonio Andrea Gentile +7
The future development of quantum technologies relies on creating and manipulating quantum systems of increasing complexity, with key applications in computation, simulation and se…
Interaction Energies on Noisy Intermediate-Scale Quantum Computers
Matthias Loipersberger, Fionn D. Malone, Alicia R. Welden +7
The computation of interaction energies on noisy intermediate-scale quantum (NISQ) computers appears to be challenging with straightforward application of existing quantum algorith…
Efficient quantum computation of molecular forces and other energy gradients
Thomas E. O'Brien, Michael Streif, Nicholas C. Rubin +12
While most work on the quantum simulation of chemistry has focused on computing energy surfaces, a similarly important application requiring subtly different algorithms is the comp…
Quantum Model Learning Agent: characterisation of quantum systems through machine learning
Brian Flynn, Antonio Andreas Gentile, Nathan Wiebe +2
Accurate models of real quantum systems are important for investigating their behaviour, yet are difficult to distill empirically. Here, we report an algorithm -- the Quantum Model…
A scheme for universal high-dimensional quantum computation with linear optics
Stefano Paesani, Jacob F. F. Bulmer, Alex E. Jones +2
Photons are natural carriers of high-dimensional quantum information, and, in principle, can benefit from higher quantum information capacity and noise-resilience. However, schemes…
Learning models of quantum systems from experiments
Antonio A. Gentile, Brian Flynn, Sebastian Knauer +6
An isolated system of interacting quantum particles is described by a Hamiltonian operator. Hamiltonian models underpin the study and analysis of physical and chemical processes th…
Chip-to-chip quantum teleportation and multi-photon entanglement in silicon
Daniel Llewellyn, Yunhong Ding, Imad I. Faruque +17
Exploiting semiconductor fabrication techniques, natural carriers of quantum information such as atoms, electrons, and photons can be embedded in scalable integrated devices. Integ…
Localization-based two-photon wave-function information encoding
Raffaele Santagati, Alasdair B. Price, John G. Rarity +1
In quantum communications, quantum states are employed for the transmission of information between remote parties. This usually requires sharing knowledge of the measurement bases…
Generation and sampling of quantum states of light in a silicon chip
Stefano Paesani, Yunhong Ding, Raffaele Santagati +7
Implementing large instances of quantum algorithms requires the processing of many quantum information carriers in a hardware platform that supports the integration of different co…
Programmable four-photon graph states on a silicon chip
Jeremy C. Adcock, Caterina Vigliar, Raffaele Santagati +2
Future quantum computers require a scalable architecture on a scalable technology---one that supports millions of high-performance components. Measurement-based protocols, based on…
Large-scale silicon quantum photonics implementing arbitrary two-qubit processing
Xiaogang Qiang, Xiaoqi Zhou, Jianwei Wang +11
Integrated optics is an engineering solution proposed for exquisite control of photonic quantum information. Here we use silicon photonics and the linear combination of quantum ope…
Magnetic-field-learning using a single electronic spin in diamond with one-photon-readout at room temperature
Raffaele Santagati, Antonio A. Gentile, Sebastian Knauer +11
Nitrogen-vacancy (NV) centres in diamond are appealing nano-scale quantum sensors for temperature, strain, electric fields and, most notably, for magnetic fields. However, the cryo…
Multidimensional quantum entanglement with large-scale integrated optics
Jianwei Wang, Stefano Paesani, Yunhong Ding +16
The ability to control multidimensional quantum systems is key for the investigation of fundamental science and for the development of advanced quantum technologies. Here we demons…
Silicon photonic processor of two-qubit entangling quantum logic
R. Santagati, J. W. Silverstone, M. J. Strain +11
Entanglement is a fundamental property of quantum mechanics, and is a primary resource in quantum information systems. Its manipulation remains a central challenge in the developme…
Experimental Quantum Hamiltonian Learning
Jianwei Wang, Stefano Paesani, Raffaele Santagati +8
Efficiently characterising quantum systems, verifying operations of quantum devices and validating underpinning physical models, are central challenges for the development of quant…
Experimental Bayesian Quantum Phase Estimation on a Silicon Photonic Chip
Stefano Paesani, Andreas A. Gentile, Raffaele Santagati +5
Quantum phase estimation is a fundamental subroutine in many quantum algorithms, including Shor's factorization algorithm and quantum simulation. However, so far results have cast…
Witnessing eigenstates for quantum simulation of Hamiltonian spectra
R Santagati, J Wang, A A Gentile +11
The efficient calculation of Hamiltonian spectra, a problem often intractable on classical machines, can find application in many fields, from physics to chemistry. Here, we introd…