2024

Quantum Convolutional Neural Networks are (Effectively) Classically Simulable

Pablo bermejo

Quantum Convolutional Neural Networks (QCNNs) are widely regarded as a promising model for Quantum Machine Learning (QML).

2024

Towards quantum advantage on the cloud: benchmarking a 20 qubit quantum computer

Alejandro GÓMEZ

Quantum computing is a field with incredible potential to solve fundamental limitations of classical computing, as well as provide a way for scientists to simulate complex quantum systems.

2024

Quantum Error Correction and Scaling with Trapped-Ions

Henry Semenenko

Quantinuum’s quantum processors use the quantum charge-coupled device (QCCD) architecture with trapped-ion qubits to deliver leading performance with high-fidelity gates and all-to-all connectivity.

2024

Programming Heterogenous Quantum-Classical Supercomputing Architectures

ESPERANZA CUENCA

Valuable quantum computing will integrate tightly with and depend on classical high-performance computing and AI.

2024

QUIONE: A quantum simulator based on ultracold strontium atoms

Antonio RUBIO

Neutral atoms have a wide range of applications in quantum science and technology.

2024

Quantum error correction with constant time overhead

MICHAEL VASMER

The promise of quantum computers is currently limited by noise. Quantum error correction has the potential to overcome this problem, at the cost of large space and time overheads.

2024

Does provable absence of barren plateaus imply classical simulability?

ZOË HOLMES

A large amount of effort has recently been put into understanding the barren plateau phenomenon.

2024

Quantum-accelerated supercomuting: where we are and where we need to go

LAURA SCHULZ

Quantum computing is a breakthrough science and technology star, but its true power lies in partnering with supercomputing. In this presentation, I’ll highlight LRZ’s multi-dimensional efforts to provide, merge and optimize various quantum accelerators into HPC workflows and into HPC centers.

2024

Conformal quantum cellular data

LLUIS MASANES

First, I will motivate the use of unitary circuits in quantum many-body physics. Second, I will introduce a family of quantum callular automata in 1+1 dimensions consisting of dual-unitary circuits.

2024

Digital-Analog quantum computing and algorithms

ANA MARTÍN FERNÁNDEZ

We will delve into the development and implementation of quantum algorithms using the digital-analog quantum computational (DAQC) paradigm.

2024

Analog and digital superconducting quantum processors

POL FORN-DÍAZ

Small-scale prototype quantum processors, despite their imperfections, are already a reality.

2024

Algorithmic ideas

JOSÉ IGNACIO LATORRE

Progress in quantum algorithms needs critical revisiting of three relevant steps: encoding, processing and read-out.

2023

Test of the physical significance of Bell’s theorem

Adan cabello

The experimental violation of Bell inequalities implies that at least one of three assumptions, measurement independence (MI), parameter independence (PI), and outcome independence (OI), fails in nature.

2023

Simulating IBM’s Kicked Ising Experiment with Quantum-Inspired Tensor Networks

ROMÁN ORÚS

We show how quantum-inspired 2d tensor networks can be used to efficiently and accurately simulate the largest quantum processors from IBM, namely Eagle (127 qubits), Osprey (433 qubits) and Condor (1121 qubits).

2023

PyTheus: automated discovery of quantum experiments

CARLOS RUÍZ GONZÁLEZ

Photonic technologies are main players in the second quantum revolution, providing better sensors, secure communications, and quantum-enhanced computation.

2023

QTYR23 WORKSHOP

Various speakers

In this lecture, we will review the experimentally feasible algorithmic state-of-the-art quantum computation, namely the Noisy Intermediate-Scale Quantum algorithms (NISQ).

2023

Quantum Computing and High Energy Physics

Miriam lucio martínez

Quantum Computing constitutes a very promising field, potentially able to deal with challenges that classic computing cannot solve and present considerable speedups with respect to the former.

2023

Exploring applications of variational quantum algorithms in linear algebra

carlos bravo

Quantum computing is a rapidly developing field that holds great promise for solving complex problems.

2023

Quantum machine learning algorithms and its implementation in molecular qubits

sebastián roca-jerat

Quantum machine learning (QML) is recently gaining interest in both theory and experiment thanks to variational circuits implemented in the noisy intermediate-scale quantum computers (NISQs).

2022

Architecting full stack quantum computing systems in the NISQ era and beyond

carmen g. almudever

The advances in quantum hardware with functional quantum processors integrating tens of noisy qubits, together with the availability of near-term quantum algorithms have allowed the development of the so-called full-stacks that bridge quantum applications with quantum devices.

2022

Beyond-classical computation from a computer science perspective

sergio boixo

Outperforming classical supercomputers in a well-defined computational task is an important milestone in the long term quest for practical quantum computing.

en_USEnglish