7 citations · 12 across the 10 of their papers we have counts for
10 papers
General framework for anticoncentration and linear cross-entropy benchmarking in photonic quantum advantage experiments
Zoltán Kolarovszki, Ágoston Kaposi, Zoltán Zimborás +1
Photonic architectures are one of the leading platforms for demonstrating quantum computational advantage, with Boson Sampling and Gaussian Boson Sampling as the primary schemes. Y…
Generative modeling with Gaussian Boson Sampling: classically trainable Bosonic Born Machines
Zoltán Kolarovszki, Bence Bakó, Michał Oszmaniec +2
Quantum generative modeling has emerged as a promising application of quantum computers, aiming to model complex probability distributions beyond the reach of classical methods. In…
Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models
Andrii Kurkin, Ulysse Chabaud, Zoltán Kolarovszki +3
Recent work on the instantaneous quantum polynomial-time (IQP) quantum-circuit Born machine (QCBM) highlights a promising paradigm for generative modeling: train classically, deplo…
Fermionic Born Machines: Classical training of quantum generative models based on Fermion Sampling
Bence Bakó, Zoltán Kolarovszki, Zoltán Zimborás
Quantum generative learning is a promising application of quantum computers, but faces several trainability challenges, including the difficulty in experimental gradient estimation…
On the learning abilities of photonic continuous-variable Born machines
Zoltán Kolarovszki, Dániel T. R. Nagy, Zoltán Zimborás
This paper investigates photonic continuous-variable Born machines (CVBMs), which utilize photonic quantum states as resources for continuous probability distributions. Implementin…
Suppressing photon detection errors in nondeterministic state preparation
Csaba Czabán, Zoltán Kolarovszki, Márton Karácsony +1
Photonic quantum computing has recently emerged as a promising candidate for fault-tolerant quantum computing by photonic qubits. These protocols make use of nondeterministic gates…
Generalized group designs: constructing novel unitary 2-, 3- and 4-designs
Ágoston Kaposi, Zoltán Kolarovszki, Adrián Solymos +1
Unitary designs are essential tools in several quantum information protocols. Similarly to other design concepts, unitary designs are mainly used to facilitate averaging over a rel…
Piquasso: A Photonic Quantum Computer Simulation Software Platform
Zoltán Kolarovszki, Tomasz Rybotycki, Péter Rakyta +10
We introduce the Piquasso quantum programming framework, a full-stack open-source software platform for the simulation and programming of photonic quantum computers. Piquasso can b…
High performance Boson Sampling simulation via data-flow engines
Gregory Morse, Tomasz Rybotycki, Ágoston Kaposi +7
In this work, we generalize the Balasubramanian-Bax-Franklin-Glynn (BB/FG) permanent formula to account for row multiplicities during the permanent evaluation and reduce the comple…
Polynomial speedup in Torontonian calculation by a scalable recursive algorithm
Ágoston Kaposi, Zoltán Kolarovszki, Tamás Kozsik +2
Evaluating the Torontonian function is a central computational challenge in the simulation of Gaussian Boson Sampling (GBS) with threshold detection. In this work, we propose a rec…