15 citations · 61 across the 13 of their papers we have counts for
15 papers · 1 filter
Verification Meets Calibration: Bounds and Secret-Independent State Preparation with an NV-Center as a Case Study
Ezra Acalapati, Elham Kashefi, Cica Gustiani
Verification protocols provide cryptographic guarantees that the outcome of a delegated quantum computation is correct, a key requirement for scalable and trustworthy quantum compu…
The Born Ultimatum: Conditions for Classical Surrogation of Quantum Generative Models with Correlators
Mario Herrero-Gonzalez, Brian Coyle, Kieran McDowall +4
Quantum Circuit Born Machines (QCBMs) are powerful quantum generative models that sample according to the Born rule, with complexity-theoretic evidence suggesting potential quantum…
Logical accreditation: a framework for efficient certification of fault-tolerant computations
James Mills, Adithya Sireesh, Dominik Leichtle +2
As fault-tolerant quantum computers scale, certifying the accuracy of computations performed with encoded logical qubits will soon become classically intractable. This creates a cr…
Photonic Quantum Convolutional Neural Networks with Adaptive State Injection
Léo Monbroussou, Beatrice Polacchi, Verena Yacoub +14
Linear optical architectures have been extensively investigated for quantum computing and quantum machine learning applications. Recently, proposals for photonic quantum machine le…
Towards quantum advantage with photonic state injection
Léo Monbroussou, Eliott Z. Mamon, Hugo Thomas +3
We propose a new scheme for near-term photonic quantum device that allows to increase the expressive power of the quantum models beyond what linear optics can do. This scheme relie…
On-Chip Verified Quantum Computation with an Ion-Trap Quantum Processing Unit
Cica Gustiani, Dominik Leichtle, Daniel Mills +3
We present and experimentally demonstrate a novel approach to verification and benchmarking of quantum computing, implementing it on an ion-trap quantum computer. Unlike previous i…
On the role of coherence for quantum computational advantage
Hugo Thomas, Pierre-Emmanuel Emeriau, Rawad Mezher +3
Quantifying the resources available to a quantum computer appears to be necessary to separate quantum from classical computation. Among them, entanglement, nonstabilizerness and co…
Subspace Preserving Quantum Convolutional Neural Network Architectures
Léo Monbroussou, Jonas Landman, Letao Wang +2
Subspace preserving quantum circuits are a class of quantum algorithms that, relying on some symmetries in the computation, can offer theoretical guarantees for their training. Tho…
Experimental verifiable multi-client blind quantum computing on a Qline architecture
Beatrice Polacchi, Dominik Leichtle, Gonzalo Carvacho +5
The exploitation of certification tools by end users represents a fundamental aspect of the development of quantum technologies as the hardware scales up beyond the regime of class…
Heuristic-free Verification-inspired Quantum Benchmarking
Johannes Frank, Elham Kashefi, Dominik Leichtle +1
In this paper, we introduce a new approach to quantum benchmarking inspired by quantum verification motivating new paradigms of quantum benchmarking. Our proposed benchmark not onl…
Quantum Error Suppression with Subgroup Stabilisation
Bo Yang, Elham Kashefi, Dominik Leichtle +1
Quantum state purification is the functionality that, given multiple copies of an unknown state, outputs a state with increased purity. This will be an essential building block for…
Constrained and Vanishing Expressivity of Quantum Fourier Models
Hela Mhiri, Leo Monbroussou, Mario Herrero-Gonzalez +3
In this work, we highlight an unforeseen behavior of the expressivity of Parameterized Quantum Circuits (PQCs) for machine learning. A large class of these models, seen as Fourier…
Towards a Unified Quantum Protocol Framework: Classification, Implementation, and Use Cases
Shraddha Singh, Mina Doosti, Natansh Mathur +4
We present a framework for the unification and standardization of quantum network protocols, making their realization easier and expanding their use cases to a broader range of com…
Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning
Léo Monbroussou, Eliott Z. Mamon, Jonas Landman +3
Quantum machine learning (QML) has become a promising area for real world applications of quantum computers, but near-term methods and their scalability are still important researc…
Continuous-variable nonlocality and contextuality
Rui Soares Barbosa, Tom Douce, Pierre-Emmanuel Emeriau +2
Contextuality is a non-classical behaviour that can be exhibited by quantum systems. It is increasingly studied for its relationship to quantum-over-classical advantages in informa…