52 citations · 164 across the 13 of their papers we have counts for
13 papers
Robust Quantum Machine Learning for Collider Event Selection under Detector Variability
Christopher Brown, Michael Spannowsky, Simon Williams
Robust machine-learning methods are becoming increasingly important for high-energy physics data analysis as experiments enter the era of higher luminosity and future higher-energy…
Berry's phase on photonic quantum computers
Steven Abel, Iwo Wasek, Simon Williams
We formulate a continuous-variable quantum computing (CVQC) algorithm to study Berry's phase on photonic quantum computers. We demonstrate that CVQC allows the simulation of charge…
Continuous-variable photonic quantum extreme learning machines for fast collider-data selection
Benedikt Maier, Michael Spannowsky, Simon Williams
We study continuous-variable photonic quantum extreme learning machines as fast, low-overhead front-ends for collider data processing. Data is encoded in photonic modes through qua…
Quantum simulation of scattering amplitudes and interferences in perturbative QCD
Herschel A. Chawdhry, Mathieu Pellen, Simon Williams
A flagship application of quantum computers is the simulation of other quantum systems, including quantum field theories. In this article, we show how quantum computers can be empl…
Qumode Tensor Networks for False Vacuum Decay in Quantum Field Theory
Steven Abel, Michael Spannowsky, Simon Williams
False vacuum decay in scalar quantum field theory (QFT) is a cornerstone of early Universe cosmology and high energy physics, yet its real-time dynamics is essentially inaccessible…
Real-Time Scattering on Quantum Computers via Hamiltonian Truncation
James Ingoldby, Michael Spannowsky, Timur Sypchenko +2
We present a quantum computational framework using Hamiltonian Truncation (HT) for simulating real-time scattering processes in -dimensional scalar theory. Unlike trad…
Real-Time Scattering Processes with Continuous-Variable Quantum Computers
Steven Abel, Michael Spannowsky, Simon Williams
We propose a framework for simulating the real-time dynamics of quantum field theories (QFTs) using continuous-variable quantum computing (CVQC). Focusing on ()-dimensional $φ…
Enhancing Quantum Field Theory Simulations on NISQ Devices with Hamiltonian Truncation
James Ingoldby, Michael Spannowsky, Timur Sypchenko +1
Quantum computers can efficiently simulate highly entangled quantum systems, offering a solution to challenges facing classical simulation of Quantum Field Theories (QFTs). This pa…
Simulating quantum field theories on continuous-variable quantum computers
Steven Abel, Michael Spannowsky, Simon Williams
We delve into the use of photonic quantum computing to simulate quantum mechanics and extend its application towards quantum field theory. We develop and prove a method that levera…
Quantum Pathways for Charged Track Finding in High-Energy Collisions
Christopher Brown, Michael Spannowsky, Alexander Tapper +2
In high-energy particle collisions, charged track finding is a complex yet crucial endeavour. We propose a quantum algorithm, specifically quantum template matching, to enhance the…
Collider Events on a Quantum Computer
Gösta Gustafson, Stefan Prestel, Michael Spannowsky +1
High-quality simulated data is crucial for particle physics discoveries. Therefore, parton shower algorithms are a major building block of the data synthesis in event generator pro…
Quantum walk approach to simulating parton showers
Simon Williams, Sarah Malik, Michael Spannowsky +1
This paper presents a novel quantum walk approach to simulating parton showers on a quantum computer. We demonstrate that the quantum walk paradigm offers a natural and more effici…
Towards a Quantum Computing Algorithm for Helicity Amplitudes and Parton Showers
Khadeejah Bepari, Sarah Malik, Michael Spannowsky +1
The interpretation of measurements of high-energy particle collisions relies heavily on the performance of full event generators. By far the largest amount of time to predict the k…