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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

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