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| < Quantum | Software | Machine Learning > engineer/technical lead based in Madrid |
Technology consulting and advisory services
Senior-level technology consulting and advisory services focused on AI, quantum computing, and high-performance systems.
Read the postProjects
System-level integrations and selected independent systems.
Read the postPosts
Quantum-centric HPC starts with user enablement
Quantum-centric HPC adoption is a user-enablement problem first. Hardware access alone does not produce useful workloads. Portable runtimes and schedulable resources do.
Read the postNot just GenAI: difficulty of productionising deeptech
AI productization fails when demos are mistaken for systems. Adoption slows when evaluation, data boundaries, and cost controls are missing. Build operating discipline to make prototypes reliable.
Read the postMicroservices are technical debt
Microservices technical debt accumulates quickly. Weak domain boundaries create a distributed monolith with heavy coordination costs. Default to fewer interfaces until scale proves service splits.
software, architecture, microservices
Read the postThe Importance of Shipping Early, Often and Incrementally in Software Products Supporting Deep Tech
Shipping early in deep tech reduces execution risk. Waiting for full clarity creates demo-ware and long feedback loops. Deliver thin end-to-end slices to validate constraints early.
Read the postGenerative AI security-II
Prompt injection defenses must be operational. Treating LLMs as untrusted components exposes controls needed for policy, cost, and audit. Build gateway guardrails before scaling AI features.
Read the postRecreating Gandalf by Lakera
Prompt injection becomes obvious in Lakera’s Gandalf game. System prompts alone fail once user text is treated as trusted context. Test reinjection paths to design safer LLM interactions.
Read the postGenerative AI security
LLM security starts with prompt trust boundaries. Prompt injection and multimodal inputs bypass instruction-only defenses. Add controls on inputs, tools, and outputs to reduce exploitability.
Read the postThe Future of Travel Tech: How AI is Shaping the Journey Ahead
Travel tech ecosystem complexity breaks naive AI plans. Search, pricing, inventory, and support pipelines conflict in practice. Set tight system boundaries so AI improves outcomes.
Read the postPower of abstraction
Abstraction and performance are not enemies. Clean interfaces fail when data layout and optimization boundaries are ignored. Place optimizations at the right layer to keep code fast and maintainable.
mathematics, quantum, quantum-computing
Read the postArchitecting new projects
Project architecture starts with iterative requirements. Treating greenfield design as one-shot creates brittle code and stakeholder drift. Use small PoCs to align scope, ownership, and evolvability.
Read the postIEEE QCE impression
Quantum software architecture debates at IEEE QCE are maturing. Performance, usability, and quality attributes still get mis-scoped. Use clearer boundaries to make trade-offs explicit.
Read the postISC-HPC impression
Quantum-HPC integration at ISC-HPC shows real momentum. European programs still miss near-term algorithm work and rush standards too early. Focus on deployable workflows to improve impact.
Read the postpublications
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.
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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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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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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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.
talks
Neutral atoms quantum computing and applications
Neutral-atom quantum computing needs realistic framing. I explain applications, hardware constraints, and commercial timelines to an academic audience. This helps teams plan work against real delivery horizons.
Read the postHPC-QC integration for neutral atoms based QPUs
HPC scheduler integration for neutral-atom QPUs is still immature. Hardware-specific constraints break generic assumptions in early stack designs. Model those constraints early to avoid costly rework.
Read the postPulse level simulation of neutral atom QPUs
Pulse-level simulation for neutral-atom QPUs is advancing quickly. Tensor-network methods and differentiable emulators expose limits in many advantage claims. Use simulation evidence to guide realistic roadmap choices.
Read the postQadence @ POPL24
Quantum software engineering needs better language abstractions. I present Qadence as a differentiable interface for digital-analog programs. This shortens iteration loops between model design and execution.
Read the postEuropean Quantum Software and Systems Summit (EQS3)
Quantum-HPC architecture still lacks stable handoff points. EQS3 discussions focused on abstractions and modality-specific stack choices. Clarifying these boundaries improves interoperability planning.
Read the postSupercomputing SC24
Quantum-HPC ecosystem progress is visible at SC24. Booth talks and partner sessions showed where integration work is concrete versus hype. This helps prioritize engineering work with practical upside.
Read the postFOSDEM Quantum Computing Devroom
Quantum software engineering often fails on product fit. I analyze why useful internal tools stay unused despite technical quality. This improves requirements, architecture choices, and long-term maintenance.
Read the postSoftware at the intersection of Quantum and HPC & heterogeneous quantum computing
Heterogeneous quantum computing needs shared scheduling semantics. I cover QRMI and Slurm-based resource management across real HPC deployments. This reduces integration friction for hybrid workloads.
Read the postTowards quantum-classical supercomputing with neutral atoms
Quantum-classical supercomputing depends on operational integration. I map neutral-atom QPU infrastructure, co-processing workflows, and scheduling constraints. This clarifies what production adoption actually requires.
Read the postMaterial Science Working Group Meeting
Quantum-HPC integration for materials science is becoming practical. Working-group talks focused on workflows, operations, and deployment constraints. This sharpens priorities for near-term application teams.
Read the postSupercomputing SC25
QC-HPC systems need portable execution environments. I present architecture choices for QRMI integration, second-level scheduling, and observability. This improves usability for both developers and operators.
Read the postEQS3 VI QRMI Overview
Quantum resource management interface design remains fragmented. I compare QRMI with QDMI and discuss where they should interoperate. This helps teams choose integration paths with lower lock-in.
Read the postOpen Compute Project: QPU Integration
QPUs as first-class HPC resources require software redesign. I share deployment lessons on orchestration, scheduling, and observability in production sites. This guides data-center integration decisions.
Read the postOpenQSE
Quantum-HPC middleware bottlenecks are mostly operational. I outline QRMI and a second-level scheduler for work inside HPC allocations. This improves runtime control without replacing existing schedulers.
Read the postOCP EMEA Summit
Data-center integration of quantum infrastructure is accelerating. This upcoming OCP EMEA session focuses on practical QPU integration patterns. More details will be added as materials are finalized.
Read the postMunich Quantum Software Forum 2026
Scheduled for October 14-15, 2026 at TUM. Talk title and abstract are TBD and will be added once finalized.
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