GPU Day 2022

Session

Session V

21 Jun 2022, 09:00

Hotel Mercure Budapest Castle Hill

66. Piquasso, a comprehensive framework for optical quantum computer programming and simulation

Zoltan Zimboras (Wigner RCP)

21/06/2022, 09:00

Lecture

In this talk, we introduce Piquasso, a full-stack open source platform for Photonic Quantum Computing built using Python and C++. Piquasso enables users to perform efficient Quantum Computing using continuous variables, which could be used for designing photonic circuits for simulation and machine learning purposes.

36. Improving efficiency of non-Gaussian photonic circuit simulations

Zoltán Kolarovszki

21/06/2022, 09:30

The simulation of photonic quantum computers with non-Gaussian circuit elements
has a high memory usage since the quantum state is usually represented as a
tensor, which scales exponentially in the number of modes in the photonic
circuit. However, this representation turns out to be slow and overabundant in
most cases, forcing us to devise a new strategy for simulating...

42. Custom Tailored FPGA Boson Sampling

Gregory Morse (Department of Programming Languages and Compilers, Eötvös Loránd University)

21/06/2022, 09:50

Lecture

Computing the permanent of a matrix finds an important application in the context of boson sampling. Using the BB/FG permanent formula with a reflected binary Gray code, we implemented an FPGA design aimed at maximizing the use of logic and DSP resources to increase the parallelism and reducing the time complexity from $\mathcal{O}(n.2^{n-1})$ to $\mathcal{O}(n.2^{n-3})$. This can be...

31. Efficient quantum gate decomposition via adaptive circuit compression

Peter Rakyta (Department of Physics of Complex Systems, Eötvös Loránd University)

21/06/2022, 10:10

Lecture

In this work, we report on a novel quantum gate approximation algorithm based on the application of parametric two-qubit gates in the synthesis process. The utilization of these parametric two-qubit gates in the circuit design allows us to transform the discrete combinatorial problem of circuit synthesis into an optimization problem over continuous variables. The circuit is then compressed by...