no code implementations • 10 Jul 2023 • Armando Angrisani, Mina Doosti, Elham Kashefi
In this paper, we propose a novel and general definition of neighbouring quantum states.
no code implementations • 7 Mar 2022 • Armando Angrisani, Mina Doosti, Elham Kashefi
Differential privacy provides a theoretical framework for processing a dataset about $n$ users, in a way that the output reveals a minimal information about any single user.
no code implementations • 7 Mar 2022 • Armando Angrisani, Elham Kashefi
Quantum statistical queries provide a theoretical framework for investigating the computational power of a learner with limited quantum resources.
no code implementations • 4 Nov 2021 • Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar
In this work, we focus on the quantum approximate optimisation algorithm (QAOA) for solving the MaxCut problem.
no code implementations • 25 Feb 2021 • Theodoros Kapourniotis, Elham Kashefi, Luka Music, Harold Ollivier
The security of our protocol is reduced, in an information-theoretically secure way, to that of a classical composable Secure Multi-Party Computation (SMPC) used to coordinate the various parties.
Quantum Physics
no code implementations • 25 Feb 2021 • Ellen Derbyshire, Rawad Mezher, Theodoros Kapourniotis, Elham Kashefi
Recently, there has been an emergence of useful applications for noisy intermediate-scale quantum (NISQ) devices notably, though not exclusively, in the fields of quantum machine learning and variational quantum algorithms.
Quantum Physics
no code implementations • 14 Jan 2021 • Niraj Kumar, Rawad Mezher, Elham Kashefi
Quantum physical unclonable functions, or QPUFs, are rapidly emerging as theoretical hardware solutions to provide secure cryptographic functionalities such as key-exchange, message authentication, entity identification among others.
Quantum Physics
no code implementations • 21 Dec 2020 • Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar
In this work, we propose variational quantum cloning (VQC), a quantum machine learning based cryptanalysis algorithm which allows an adversary to obtain optimal (approximate) cloning strategies with short depth quantum circuits, trained using hybrid classical-quantum techniques.
no code implementations • 3 Aug 2020 • Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, Elham Kashefi
Finding a concrete use case for quantum computers in the near term is still an open question, with machine learning typically touted as one of the first fields which will be impacted by quantum technologies.
no code implementations • 3 Apr 2019 • Brian Coyle, Daniel Mills, Vincent Danos, Elham Kashefi
In particular, we explore quantum circuit learning using non-universal circuits derived from Ising Model Hamiltonians, which are implementable on near term quantum devices.
no code implementations • 6 Oct 2011 • Stefanie Barz, Elham Kashefi, Anne Broadbent, Joseph F. Fitzsimons, Anton Zeilinger, Philip Walther
Quantum computers, besides offering substantial computational speedups, are also expected to provide the possibility of preserving the privacy of a computation.
Quantum Physics
no code implementations • 25 Jul 2008 • Anne Broadbent, Joseph Fitzsimons, Elham Kashefi
We present a protocol which allows a client to have a server carry out a quantum computation for her such that the client's inputs, outputs and computation remain perfectly private, and where she does not require any quantum computational power or memory.
Quantum Physics