### 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.