Publications

You can also find my articles on my Google Scholar profile or the ArXiV.

Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey

Published in ArXiv, 2026.

Quantum resources are increasingly integrated into high-performance computing and cloud environments, but quantum-HPC software stacks remain isolated, often proprietary, full-stack solutions lacking common interfaces across runtime, resource management, orchestration, and execution layers. This survey reviews nine production stacks, maps recurring design patterns and deployment choices, and identifies shared gaps in runtime abstraction, scheduling/resource management, interconnect semantics, and observability. It introduces the openQSE reference architecture with explicit layer boundaries so implementations can interoperate while preserving deployment choice and supporting both NISQ-era workloads and future FTQC systems without changing upper-layer application interfaces.

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Integrating Quantum Processing Units into Data Center Infrastructure

Published in Open Compute Project white paper, 2026.

Quantum deployments are moving from lab environments and small private data centers toward production deployments in larger third-party data centers. This Open Compute Project white paper documents practical requirements for integrating QPUs into data center infrastructure, including facility constraints, control-plane interfaces, and operational workflows. It aligns with the OCP Data Center Integration of Quantum Information Infrastructure effort to define open specifications and interoperable practices for hybrid quantum-classical environments.

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Hybrid Quantum-Classical Algorithms: A Cloud On-Demand Viewpoint

Published in QUEST-IS 2025 in Springer Communications in Computer and Information Science, 2026.

In the last decade, advances in quantum technologies have allowed for the rapid development of industrialized quantum processing units. These new devices exploit the laws of quantum mechanics to perform complex calculations. Quantum processing units require new ways of thinking and programming. In particular, these new algorithms will be hybrid, with part of the computation performed on classical high-performance computing hardware and part on the dedicated quantum hardware. At Pasqal, we have developed a cloud platform hosting a neutral atom quantum processing unit (QPU) operating in the analog paradigm and a series of hybrid quantum classical algorithms that cover applications such as quantum optimization, quantum machine learning and quantum simulation. In this paper, we will show how this platform is used during the execution of real workloads.

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Towards a user-centric HPC-QC environment

Published in SC'25 workshops proceedings, 2025.

Robust execution environments are important for addressing key challenges in quantum computing, such as application development, portability, and reproducibility, and help unlock the development of modular quantum programs, driving forward hybrid quantum workflows. In this work, we show progress towards a basic, but portable, runtime environment for developing and executing hybrid quantum-classical programs running in High Performance Computing (HPC) environments enhanced with Quantum Processing Units (QPUs). The middleware includes a second layer of scheduling after the main HPC resource manager in order to improve the utilization of the QPU, and extra functionality for observability, monitoring, and admin access. This approach enables managing multiple programming Software Development Kits (SDKs) as first-class citizens in the environment by building on a recently proposed vendor-neutral Quantum Resource Management Interface (QRMI). Lastly, we discuss and show a solution for the monitoring and observability stack, completing our description of the hybrid system architecture.

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Quantum resources in resource management systems

Published in ArXiv, 2025.

Quantum computing resources are increasingly being incorporated into high-performance computing (HPC) environments as co-processors for hybrid workloads. To support this paradigm, quantum devices must be treated as schedulable first-class resources within existing HPC infrastructure. This enables consistent workload management, unified resource visibility, and support for hybrid quantum-classical job execution models. This paper presents a reference architecture and implementation for the integration of quantum computing resources, both on-premises and cloud-hosted into HPC centers via standard workload managers. We introduce a Slurm plugin designed to abstract and control quantum backends, enabling seamless resource scheduling, minimizing queue duplication, and supporting job co-scheduling with classical compute nodes. The architecture supports heterogeneous quantum resources and can be extended to any workload (and container) management systems.

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Qadence a differentiable interface for digital and analog programs

Published in IEEE Software, 2025.

In this work we present Qadence, a high-level programming interface for building complex digital and analog quantum programs. Digital-analog quantum computing (DAQC) is an alternative paradigm for universal quantum computation combining digital gates with global analog operations acting on a register of interacting qubits. Currently, no available open-source software is tailored to express, differentiate, and execute programs within the DAQC paradigm. Qadence addresses this shortfall by seamlessly allowing the user to combine digital and analog primitives. With a flexible interface and focus on native differentiability, Qadence aims to support research in variational algorithms in these hybrid computational models.

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Cloud on-demand emulation of quantum dynamics with tensor networks

Published in ArXiv, 2023.

We introduce a tensor network based emulator, simulating a programmable analog quantum processing unit (QPU). The software package is fully integrated in a cloud platform providing a common interface for executing jobs on a HPC cluster as well as dispatching them to a QPU device. We also present typical emulation use cases in the context of Neutral Atom Quantum Processors, such as evaluating the quality of a state preparation pulse sequence, and solving Maximum Independent Set problems by applying a parallel sweep over a set of input pulse parameter values, for systems composed of a large number of qubits.

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