### 2024

**Reservoir computing with complex quantum systems**

**Reservoir computing with complex quantum systems**###### Roberta zambr

on-conventional computing inspired by the brain, or neuromorphic computing, is a successful approach in a broad spectrum of applications, and in the last few years proposals of Quantum Reservoir Computing have been explored.

### 2024

**Classical Shadows in Theory, Numerics, and Experiment**

**Classical Shadows in Theory, Numerics, and Experiment**###### Richard kueng

Classical shadows are a scalable way to extract meaningful information from a n-qubit system in a scalable and online fashion.

### 2024

**Quantum Convolutional Neural Networks are (Effectively) Classically Simulable**

**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**

**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**

**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**

**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**

**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**

**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?**

**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**

**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**

**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**

**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**

**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**

**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**

**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**

**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.