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WP1 – QPU Critical Path
Forschungszentrum Jülich – PGI-13
Development of a demonstrator chip Design a superconducting quantum processor with at least 30 individually controllable and readable qubits in a scalable architecture Establish calibration
Scalable architectures Develop details of the keystone double chain architecture
Gate and calibration development Benchmark methods for single-qubit gates and high-fidelity interleaved two-qubit gates
Implement benchmarking and validation algorithms Quantify performance with trusted tools
Coherent materials Improve current (Al) and develop new (nitrides, 2DEGs) materials for highly coherent quantum devices
Qubit control on the Bloch sphere Achieve 97% fidelity in state preparation and general control Improve parametric standing wave amplifiers
Quasiparticle suppression and mitigation Develop a kinetic model and validate it experimentally Develop suppression of quasiparticle sources (IR, ionising radiation, etc.) by traps
Dielectric masks, new materials and surface treatments against dielectric Develop dielectric template masks to improve material growth and treatment Validation: local scanning and coherence
Manufacturing processes Adaptation and optimisation of manufacturing processes at different scale and integration levels, characterisation and quality assurance
Integration technology Research and implementation of integration and interconnection technology, including bonding, flip chip, and monolithic integration
Base cells Design, fabrication and test of basic cells to demonstrate functionality Parameter evaluation with the developed tools
Scalability of quantum processors Scaling the number of controllable qubits, implementation of adapted integration and interconnection technologies
Control and readout components Research, fabrication and characterisation of components: Microwave amplifiers, e.g. TWPA and SFQ/AQFP systems
Foundry Service Formulation of design rules, process description, parameters, cell library and quality management
Cryogenic electromagnetic environment Simulation of the QPU electromagnetic environment for cryogenic packaging and dense, flexible radio frequency wiring for processor demonstrator and TWPAs
TWPA for high performance Design/manufacture/characterisation of a nitride-based TWPA for high electrical power
High density flexible flat wiring Design and fabrication of highly scalable, flat, flexible high frequency wiring and validation on demonstrator
Cost-effective room temperature (RT) electronics Design/implementation/maintenance of RT electronics based on demonstrator requirements
Optimised cryoelectronics Cryogenic characterisation and optimisation of GF 22FDX technology in terms of power exception/high frequency/noise performance
Cryogenic packaging Development of packaging for high density electrical interconnects and thermal management/isolation for co-integration of cryogenic control with qubits
Demonstration of cryogenic control Validation that QPUs can be operated with cryogenic control
Modelling and suppression of noise sources for solid state qubits Characterise/model the complex environments that cause decoherence Use understanding to design methods of decoherence avoidance and stabilisation
Modelling of multi-qubit modules Simulate dynamics incorporating the physics of superconductivity (Josephson effect, quasiparticle dynamics) and the full electromagnetic model of the whole system Adaptation of the chip design automation toolbox "KQCircuits" to the new demonstrators
Validation and benchmarking to validate fidelities Development and application of test protocols to prove demonstrator fidelity and computational advantage for all platforms including Moonshot Application within the Qruise software package C3
Roadmap to scalability Design of architectures of larger systems with fault correction and tolerance Use of ML-assisted quantum error correction and suppression for new processors
WP7 – Hardware Stack for External Access
Forschungszentrum Jülich – PGI-13
Establish external access to powerful experimental infrastructure Explore hardware stack that allows external access to quantum processors, in particular a dedicated cryostat connected to computer-controlled control electronics
Installation and calibration of quantum processors Use superconducting qubit systems as a platform for quantum algorithms
Maintaining performance through hardware Minimising drift through hardware and environmental measures (noise, electronics, temperature fluctuations; software focus)
WP8 – Middle and Firmware Stack Control
Forschungszentrum Jülich – PGI-8
Instrument control Quantitative simulation of the entire QPU Interface to experimental hardware and firmware Creation of a circuit programmable interface
Gater design Simple few-qubit pulses with AI-assisted design tool Dynamically decoupled gates Feedback on design process
Calibration and system identification Known and AI-assisted calibration ML methods for experimental data analysis Parameter reconstruction and error budget
Measurement Optimisation of measurement protocols Improved measurement elements Protocols for benchmarking of gates/algorithms (randomised, gate topography) and higher metrics (quantum volume, creutentropy benchmarking)
Scalability Modularity of design and characterisation to speed up calibration
Durable operation Periodic recalibration of control, scheduling of calibration processes in the middle of the software stack
Classification of applications Establish a class of tasks in different scientific fields (e.g. biology or particles) and industrial problems that can be efficiently mapped to a quasi-1D geometry and potentially benefit from resonators
Cross-platform benchmarking Efficient simulation of task classes implemented on simulation infrastructure and suitable QC hardware Application benchmarking also relative to other QC hardware
Decoherence constraints for 1D architecture Establish maximum decoherence still allowing quantum advantage through simulation methods
Better algorithms through better couplers Develop algorithms for advanced couplers Evaluation of algorithms on the double stranded geometry of the demonstrator
Compiler Delivery of software that accepts quantum algorithms and determines the most efficient implementation
Interface in the QSolid software stack Establish an interface between ParityOS (tasks in gate sequences) and Qruise (fast qubit calibration)
Cloud access Offer interfaces for sending in programs Infrastructure verification and resources for end users
HPC integration and infrastructure Integration for system management, usage access, health check for sustained operation and availability in a modular supercomputer
Backend development Provision of common frameworks and interfaces from front-end to QPU
Scheduling and resource management Efficient provision of quantum hardware between many users as part of heterogeneous workflows
Coordination of software development Coordinate software architecture and development activities between partners Continuous integration and validation
Management/communication structures Establishment of an internal management platform and workflows
Continuous monitoring and planning Regular exchange between work packages
Meetings and onboarding Organise annual consortium meetings (two face-to-face days), onboarding workshops and inter-WP meetings
External communication, networking, stakeholder engagement, contract management Support consortium-wide reporting and coordination, liaise with other projects, liaise with funders and the public
Integration management Top-down system engineering – detailed development and monitoring of interface specifications, requirements, specifications, integration and test plan, interface verification and assessment of systemic risks
Outreach and communication CI, communication material, media presence, project website, audio-visual material
Coordination of exploitation Information material for exploitation centres, training for staff, query and coordination of joint exploitation