Quantum Sciences in Army R&D within the ARMY Army Research Office (ARO) Army Research Lab (ARL) Research Engineering, and Development Centers (RDECs)

Army Research Laboratory Military Deputy COL Kevin Ellison Associate Director Plans & Programs Director Dr. Thomas Russell Mr. Todd Rosenberger Associate Director Laboratory Operations Sergeant Major Kevin Connor Deputy Director Basic Science Director ARO Ms. Teresa Kines Chief Scientist Dr. Joseph Mait Dr. David Skatrud Vehicle Technology Human Research & Engineering Survivability/ Lethality Analysis Computational & Information Sciences Sensors & Electron Devices Weapons & Materials Research Dr. Mark Valco Dr. Laurel Allender Dr. Paul Tanenbaum Dr. John Pellegrino Dr. Philip Perconti Dr. Patrick Baker

Army Research Laboratory Military Deputy COL Kevin Ellison Associate Director Plans & Programs Director Dr. Thomas Russell Mr. Todd Rosenberger Associate Director Laboratory Operations Sergeant Major Kevin Connor Deputy Director Basic Science Director ARO Ms. Teresa Kines Chief Scientist Dr. Joseph Mait Dr. David Skatrud Vehicle Technology Human Research & Engineering Survivability/ Lethality Analysis Computational & Information Sciences Sensors & Electron Devices Weapons & Materials Research Dr. Mark Valco Dr. Laurel Allender Dr. Paul Tanenbaum Dr. John Pellegrino Dr. Philip Perconti Dr. Patrick Baker

ARL and Quantum ARL: Distributed Quantum Network Plus, Open Campus ARO Communication Sensing Simulation Computing Timekeeping ARO Extramural research grants Quantum computing, all approaches Quantum Information Sciences, broadly ARL: Distributed Quantum Network In-house research program Cooperative research agreements with Academia ARL Center for Distributed Quantum Information (CDQI) To develop multi-site, multi-node, modular quantum network based on resilient distributed quantum entanglement preserved by quantum memory and quantum error correction Long-term objective: beyond-classical capabilities for C4ISR Currently in source selection Tri-Service 6.2 program Plus, Open Campus

Army Research Laboratory Military Deputy COL Kevin Ellison Associate Director Plans & Programs Director Dr. Thomas Russell Mr. Todd Rosenberger Associate Director Laboratory Operations Sergeant Major Kevin Connor Deputy Director Basic Science Director ARO Ms. Teresa Kines Chief Scientist Dr. Joseph Mait Dr. David Skatrud Vehicle Technology Human Research & Engineering Survivability/ Lethality Analysis Computational & Information Sciences Sensors & Electron Devices Weapons & Materials Research Dr. Mark Valco Dr. Laurel Allender Dr. Paul Tanenbaum Dr. John Pellegrino Dr. Philip Perconti Dr. Patrick Baker

Proposed Quantum Science In-house Program Structure Atomic Physics Team Emerging Quantum Technologies Team Quantum photonics and Devices Team Neutrals Detectors High efficiency, single photon detectors Coherent States Rare Earth Memories Ions Frequency Conversion Quantum dot sources Research includes: ultracold atoms and ions, quantum memory, quantum repeater, vacuum advances, sources, cavity design, Cryogenics Solid State Platforms NV Diamond SiC Q dots Superconductors SQUIDS Platform fabrication Hybrid quantum systems Portable quantum systems/quantum interfaces Research includes: higher risk approaches such as solid state platforms, memories, sources, detectors, collective coherent states Research includes: device design, fabrication and performance modeling with regard to SWaP and efficiency NV = Nitrogen-Vacancy center, a point defect in diamond Interaction with Quantum Center network science Coordination with QIS Center Projects Theory Quantum information theorist Fiber & free space propagation Personnel Exchange

Classical Network Model ARL Center: Cooperative Agreements ARL is establishing “Center for Distributed Quantum Systems Science” The Center is a collaborative research effort between ARL and external leading experts in the quantum information sciences toward a multi-site, multi-node, distributed quantum network based on quantum memories Classical Network Model ARL NIST DARPA NRL NSA UMD APG Potential DC-area quantum network Quantum theory to establish & understand protocols; what might they look like? We are focused here ARL’s basic research program will investigate a first-of-its kind network (physical backbone) using quantum memory

Initial Goals for Quantum Network Program Internal + External Program: Initial 5 years (FY 15 start) Discover means to efficiently and effectively entangle three nodes as a model quantum network Explore feasibility & potential of distributed quantum network for Novel security protocols Time distribution Sensing Simulations Computation Take steps towards a practical quantum network

Joint Service Lab Capabilities in Quantum Sciences and Engineering All 3 Service Labs-with DoD engineering centers-to mature critical quantum components to TRL 4/5 Cohesive thrust across DoD Labs to define application space Prototype demonstrations will push technology out of lab for practical, scalable, ultimately fielded capabilities Goals: Building blocks developed in this program in ~ 5 years Feeds into the 6.1 effort in Quantum Networks

Enable Quantum Network using scalable, integrated memory Joint Service Lab Capabilities in Quantum Sciences and Engineering Enable Quantum Network using scalable, integrated memory Scalable, integrated memories Target Specifications 50 s coherence time 10% readout efficiency Freq conv from UV to telecom SWaP: 1.5m3, 40kg, 1kW Lower Risk – Lower Uncertainty: Ion-based memory Higher Risk – Higher Payoff: SiC-based memory >1ms coherence time 90% readout efficiency Direct coupling to telecom waveguides SWaP: 0.05m3, 10kg, 300W SiC material growth & characterization Optical cavity design & fab Photonic circuit integration Demo prototype quantum network by entangling two memory nodes Frequency conversion Photonic circuit integration Single photon sources Compact UV lasers & detectors Compact vacuum cell development On-chip integration of waveguides & wires Demo motion sensing in solid-state within network High-sensitivity sensors Target Specs Improved sensor performance by factor of N-1/2 Down-select from Solid-state Accelerometer Atom-based Dual Accel./Gyro Atom-based Magnetometer Demo sensor application across quantum nodes QSE work QSE deliverables

Open Campus collaborations ARL and Quantum Distributed Quantum Network Communication Sensing Simulation Computing Timekeeping Keep in mind: Open Campus collaborations