X - NASA Quantum Future Technologies Conference

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Relevance to Human Exploration Systems Machine learning of classifiers / image registration used in ALHAT (Autonomous landing & hazard avoidance technologies) Logistics – optimal cargo loading to minimize storage volume while maximizing access Planning & scheduling assembly of large structures in space or work activities in human-‐robotic exploration V&V and optimal sensor placement for human habitats, and surface / flight exploration vehicles
Example: Image Registration §� Goal: Co-‐register and mosaic two or more images of the same scene taken at different times, from different viewpoints, and/or in different wavebands §� Solve via quantum annealing i j k α β γ
Page 1 and 2: Colin P. Williams (JPL) NASA QUANTU
Page 3 and 4: Impact if Successful §� Guarante
Page 5 and 6: Recent NASA Incidents §� NASA ne
Page 7 and 8: Stated NASA Need … §� Need “
Page 9 and 10: What are “Amplitude” & “Phase
Page 11 and 12: DV-‐QKD vs CV-‐QKD §� Mo
Page 13 and 14: Current Team §� NASA (JPL & Ames
Page 15 and 16: Telcordia Experience: Quantum Netwo
Page 17 and 18: State-‐of-‐the-‐Art in
Page 19 and 20: Technical Challenges §� Extendin
Page 21 and 22: NASA APPLICATIONS OF QUANTUM COMPUT
Page 23 and 24: Alternative Models of Quantum Compu
Page 25 and 26: Progress in Quantum Hardware Trappe
Page 27 and 28: How Quantum Annealing via AQC Works
Page 29 and 30: State-‐of-‐the-‐Art Adi
Page 31: Applications N.B. the quantum proce
Page 35 and 36: Example: Optimal Sensor Placement
Page 37 and 38: Risks & Payoffs §� Risks ú� N
Page 39 and 40: Thank you! Mauna Kea Haleakala, Mau
Page 41 and 42: Key Milestones in CV-‐QKD §�
Page 43 and 44: CV-‐QKD in Free-‐Space Comm
Page 45 and 46: CV-‐QKD is Preferred Option for
Page 47: US OIG Audit - the Results §� We

X - NASA Quantum Future Technologies Conference

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