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Postdoctoral Researcher: Qubit Detectors @ Northwestern
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Postdoctoral Researcher: Qubit Detectors @ Northwestern

Postdoctoral Researcher: Qubit Detectors @ Northwestern Application deadline: Sunday, October 11, 2026Research group: Figueroa Group: Experimental Particle and Quantum PhysicsEmployer web page: Figueroa GroupJob type: PostDocTags: cryogenicsexperimentfabricationtransmonsensingdetectorsuperconductingqubitTESMKIDLocated at Northwestern University, to join the group of Professor Enectali Figueroa-Feliciano. The successful applicant will play a leading role in the CosmiQ quantum sensing and computing initiative with Fermilab. The Figueroa Group is currently involved in several projects involving cryogenic detectors: CosmiQ is an R&D effort to develop qubits and related technologies for both particle sensing and quantum computing with members from Fermilab, IIT, and Northwestern. Northwestern is an active partner working on qubit measurement, modeling, and fabrication. We are focusing on the interplay between radiation and qubits, understanding how to maximize/minimize qubit sensitivity for sensing/computing. We are designing and fabricating transmon-based qubits to study and manipulate these effects, and on strategies for enhancing robustness and adaptability of qubits for fault-tolerant quantum computing. R&D at Fermilab: Our group, in collaboration with Fermilab, operates two sister facilities: the Northwestern EXperimental Underground Site (NEXUS), and the Quantum Integration and Experimental Testbed (QUIET). Both are 100 meters underground in Fermilab’s MINOS tunnel. REQUIREMENTS: A Ph.D. in physics. Candidates' background must be in experimental nuclear or particle physics, superconducting qubits and quantum computing, or experimental condensed matter physics. Applications will be evaluated on a rolling basis until the position is filled. Please submit a letter of interest and curriculum vitae, and have at least two letters of recommendation sent to: figueroagroup-jobs@northwestern.edu Log in or register to post comments

Oct 11, 2026

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Multi-Institutional Consortium Expands QRMI to Standardize Quantum-HPC Integration Across Major Workload Managers
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Multi-Institutional Consortium Expands QRMI to Standardize Quantum-HPC Integration Across Major Workload Managers

QRMI architecture. A multi-institutional consortium comprising IBM Quantum, Pasqal, Alice & Bob, CINECA, Lawrence Livermore National Laboratory (LLNL), Oak Ridge National Laboratory (ORNL), and the STFC Hartree Centre has detailed the expansion of the open-source Quantum Resource Management Interface (QRMI). Detailed in a research paper (arXiv:2607.19591), QRMI establishes a vendor-agnostic middleware layer that exposes quantum processing units (QPUs) as first-class schedulable resources alongside classical CPUs and GPUs. Building on IBM’s reference architecture for quantum-centric supercomputing, the updated framework extends QPU co-scheduling beyond Slurm to encompass six primary HPC workload managers and orchestrators: Slurm, PBS Professional, IBM Spectrum LSF, Open Cluster Scheduler (Grid Engine), Kubernetes, and the Flux Framework. [ Summary of QRMI Workload Manager Integrations ]Workload ManagerIntegration MechanismResource Abstraction & Availability Handling• Slurm• SPANK Plugin framework• Uses Generic Resources (GRES) and Dynamic Licenses to align QPU availability with node execution.• PBS Professional• Server & execution hooks• Uses custom resources and server_dyn_res scripts to check QPU readiness during scheduling.• IBM Spectrum LSF• jobstarter and postexec hooks• Maps QPUs via External Load Information Managers (ELIM) running periodic status checks.• Open Cluster Scheduler• Queue prolog/epilog & Load Sensors• Employs custom string and numeric complexes with Load Sensors (e.g., Warden) for slot tracking.• Kubernetes• Custom Operator & CRDs• Uses QuantumResource and QuantumResourceClaim CRDs with job suspension until claims bind.• Flux Framework• Fluxion graph-based scheduler• Models QPUs as native nodes in the resource graph and uses Fluence sidecars to monitor queue depth. Integrating heterogeneous QPU hardware into classical HPC data centers presents abstraction and scheduling challenges due to vendor-specific APIs, dynamic calibrati

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Quantum Bell-triplet states emerge from 151 MeV proton collisionsquantum-computing

Quantum Bell-triplet states emerge from 151 MeV proton collisions

Researchers from Fudan University in Shanghai, China and the Universidade de Santiago de Compostela in Spain have demonstrated the emergence of a near-pure Bell-triplet state from 151 MeV proton collisions at a 90-degree scattering angle. This work establishes proton-proton scattering as a potential source of high-fidelity entanglement, a key resource for quantum information science typically associated with more controlled systems. Building on this finding, the team proposes a quantum teleportation protocol for proton spins, using the strong interaction’s Hamiltonian for Bell measurement. These results bridge few-body nuclear physics and quantum technology, positioning proton-proton scattering as both an entanglement source and a natural quantum processor. Proton-Proton Scattering Reveals Emergent Bell-Triplet States Proton-proton scattering energy of 151 MeV generates a near-pure Bell-triplet state when observed at a scattering angle of 90 degrees, a finding that establishes a new regime for observing quantum entanglement. This observation deviates from typical entanglement experiments requiring highly controlled systems, instead demonstrating the emergence of this quantum property from relatively high-energy particle collisions. The scattering amplitude itself functions as a transition operator, effectively connecting different Bell states within this specific kinematic regime. Quantifying the entanglement properties of these collisions relies on metrics like entanglement power and concurrence, tools used to assess the average entanglement generated by the scattering process across various initial spin states. Researchers parameterized these initial states using angles defining the spin orientations of the two protons on their respective Bloch spheres, allowing for a detailed analysis of the entanglement generated. This analysis revealed a distinct peak indicating a strongly entangled spin-triplet state, a previously unexplored phenomenon in proton-proton scatter

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A new method unlocks quantum speedups for common chemistry simulationsquantum-computing

A new method unlocks quantum speedups for common chemistry simulations

Jielun Chen of the California Institute of Technology and Garnet Kin-Lic Chan have developed a framework for achieving quantum speedups in simulating the behavior of correlated electrons, a challenge at the heart of modern chemistry. Their work distinguishes itself by targeting calculations precisely where widely used classical methods already perform well, rather than seeking advantage where those methods fail. The researchers describe how to obtain these speedups for correlated electronic structure and dynamics, focusing on problems where classical heuristics scale linearly with the number of atoms. They write, potentially enabling simulations of systems with thousands of atoms using moderate quantum resources. Correlated Electronic Structure & Dynamics Target Regime Researchers are achieving quantum simulation speedups not by tackling problems beyond the reach of conventional computers, but by improving upon calculations already handled efficiently by existing classical methods. This approach, detailed in their work, focuses on “correlated electronic structure and dynamics,” a specific area of quantum chemistry where classical heuristics often succeed. The team’s framework aims for substantial quantum speedup precisely where these classical methods are most effective, a departure from typical quantum advantage research. This strategy addresses a fundamental challenge in demonstrating quantum advantage; proving the limits of classical algorithms is difficult and constantly evolving. The work bypasses the need to identify problems where classical methods fail outright, instead focusing on enhancing the performance of already successful techniques. By targeting calculations at the same level of approximation as these heuristics, the researchers sidestep the difficulty of demonstrating superiority in scenarios where classical algorithms are continually improving. This allows for a more robust and reliable demonstration of quantum speedup. Within an excitation bas

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Explore India's ₹6,003 Crore quantum initiative: 4 thematic hubs, leading startups, and the latest developments in India's quantum ecosystem

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