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Quantum and Quantum-Inspired Computing

for Large-Scale NOMA-MIMO Wireless Networks

Interns: Jeffrey Tang, Alex Markley

Advisors: Minsung Kim, Byungjun Kim

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Week 6

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Implementation of ParaMax: Quantum-Inspired Maximum Likelihood Detection

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Goal

101001110010101...

N_t

N_r

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Implementation of ParaMax: Quantum-Inspired Maximum Likelihood Detection

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Goal

101001110010101...

N_t

N_r

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Implementation of ParaMax: Quantum-Inspired Maximum Likelihood Detection

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Goal

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Implementation of ParaMax: Quantum-Inspired Maximum Likelihood Detection

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Goal

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Under ideal cases, no interference. Realistically, what is transmitted is not what is received.

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MIMO Detection

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Work backwards by finding the data that was most likely sent given the channel state and recv’d data. This is an optimization problem now.

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MIMO Detection

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UHD_4.4.0.HEAD-0-g5fac246b

UHD_4.4.0.0-33-g4a77791c

USRP Hardware Driver Version:

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Sample possible x values and start to settle into a minima if we find one.

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ParaMax

MIMO Detection

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Add multiple parallel annealers, one that stays near the best solution so far and one that explores for a better minima.

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ParaMax

MIMO Detection

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Progress

Task	Status
Verify MIMO-rack to MIMO-rack setup	In Progress
MIMO Detection (Conventional Methods: MMSE, FCSD)	In Progress
MIMO Detection (FlexCore, MultiSphere, ParaMax)	In Progress
Simultaneous Transmission for Multiple Tx on MIMO Rack	Not Started
Frame Synchronization on Orbit Grid	Not Started

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Thank you!

Any Questions?

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