Changes between Initial Version and Version 1 of Other/Summer/2025/QuantumComputing/PySA


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Jul 31, 2025, 3:23:12 PM (2 days ago)
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adm146
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  • Other/Summer/2025/QuantumComputing/PySA

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     1= Project Title: Quantum and Quantum-Inspired Computing for Large-Scale NOMA-MIMO Wireless Networks =
     2
     3**WINLAB Summer Internship 2025**\\ 
     4**Group Members:** Shehzad Sultan^UG^, Brian Chacon^UG^, Oskar Iwaniuk^UG^\\ 
     5**Advisors:** Minsung Kim, Byungjun Kim
     6
     7== Project Objective
     8
     9The project will explore non-traditional computing methods for “Non-Orthogonal Medium Access-based Multiple-Input Multiple-Output” (NOMA-MIMO) wireless systems. Both MIMO and NOMA are considered among the most promising techniques to increase wireless capacity by scaling up the number of serviced devices at a time. However, to do so, they require much more computationally demanding processing at the receiver. A proposed solution is to reduce MIMO Maximum Likelihood Detection (MLD) to Quadratic Unconstrained Binary Optimization(QUBO), which resembles a Hamiltonian. We, then, convert QUBO into the Ising form under the Ising model, and use an Ising solver for the best Ising configurations. Finally, the best candidate will be mapped to MIMO Detected Bits.
     10
     11Over the summer, our team split into three groups to handle ...
     12
     13== Weekly Progress
     14
     15==== WEEK ONE ====
     16[https://docs.google.com/presentation/d/1lq0ZN_Uy6lVi-Oe25P0EbvxUS1uDhYYQzYYO-oAZqN8/edit?usp=sharing Week 1 LDPC]\\
     17[https://docs.google.com/presentation/d/1yszAsj4qtqIHxvnbbeH1iDK50w9gC9EfXaJ5a0F07Ok/edit?usp=sharing Week 1 Wifi Based Detection Presentation]\\
     18
     19**Progress**:
     20- Researched Wifi-Fingerprinting and Human Adversarial Attack, and continued Integer optimization (Brian add here)
     21
     22
     23==== WEEK TWO ====
     24[https://link.to/week1_presentation Week 2 LDPC Presentation]\\
     25[https://docs.google.com/presentation/d/1wHkZaah4bzEVJw7aZy4nscwAhSbyrr3xdgP4zhrRWTQ/edit?usp=sharing Week 2 Wifi Based Detection Presentation]\\
     26
     27**Progress**:
     28- Followed tutorial to rebuild a Wifi Fingerprinter for bit similar devices; used a Convolutional Neural Network for this
     29- Edited the quadratic unconstrained binary optimization (QUBO) into a discrete solver using integer variables
     30
     31
     32
     33==== WEEK THREE ====
     34[https://docs.google.com/presentation/d/1L_rBYgvr6k4pdxpc4bNHue46HbZHd9OR9KhX8-ann7Y/edit?usp=sharing Week 3 LDPC]\\
     35[https://docs.google.com/presentation/d/1KkJF41sTUOw1vTagcLtjcmPIHCT2CmN5Yf8PfqvgCPo/edit?usp=drive_link Week 3 Wifi Based Detection Presentation]\\
     36
     37**Progress**:
     38- Fine-tuned and debugged the integer solver to correctly calculate the problem's energy
     39- Familiarized with Orbit and ILabs to run CNN training
     40
     41
     42==== WEEK FOUR ====
     43[https://docs.google.com/presentation/d/1cW87uNxIGIMuevx0n2Bxlufoo5Z9fi_10O8ANTCMMeo/edit?usp=sharing Week 4 LDPC]\\
     44[https://docs.google.com/presentation/d/1g-Zx8VQT5Coe2JyCAi3YAC7bfodBXoS4twaFKOZnDf4/edit?usp=drive_link Week 4 Wifi Based Detection Presentation]\\
     45
     46**Progress**:
     47- Began looking at Packet Carrier Frequency Offset(CFO) correction and Channel Estimation in MATLAB; Investigating UHD integration and construction of GNURadion Out-Of-Tree (OOT) custom C++/Python blocks
     48-
     49
     50
     51==== WEEK FIVE ====
     52[https://docs.google.com/presentation/d/1uUAVkGaK0YJtS1yFOWztQ9PL8ahJbn5fscuE0OxIlIg/edit?usp=sharing Week 5 LDPC]\\
     53[https://docs.google.com/presentation/d/1QkA0YLWgsVQexPdltYdYLhg0rnUe921NqkisPEbGjfU/edit?usp=drive_link Week 5 Wifi Based Detection Presentation]\\
     54
     55**Progress**:
     56- Ran into difficulties with Packet CFO correction, achieved a 37.5-50% channel estimation. Also, due to the ceiling nodes having no central node for synchronization, we were faced with distributed systems communication issues. This led to a shift from MIMO rack to MIMO rack transmission and receiving. We began investigating FlexCore and Multisphere detection as alternative classical parallelized detectors.
     57
     58==== WEEK SIX ====
     59[https://docs.google.com/presentation/d/1SuzuiRKjHqNInTtFYWvxWzJA4ojpv6YCYQ8gYi2VQN0/edit?usp=sharing Week 6 LDPC]\\
     60[https://docs.google.com/presentation/d/1D0JSVdK7Xz1N9L1-0FQmgdlv2GBe6MJChxxzovhS7XI/edit?usp=drive_link Week 6 Wifi Based Detection Presentation] \\
     61
     62**Progress**:
     63- Began software-based implementation of FlexCore and continued GNURadio setup verification for MIMO rack to MIMO rack transmission
     64
     65==== WEEK SEVEN ====
     66[https://docs.google.com/presentation/d/1K7PNPA457lYapaj0bb_4MYbKU2VkLMgjJJ1sBQyyB5A/edit?usp=sharing Week 7 LDPC]\\
     67[https://docs.google.com/presentation/d/1wrAFj2vBmmdWgLXOIHXzImcu-VCtZraha0qIIElLtY8/edit?usp=drive_link Week 7 Wifi Based Detection Presentation]\\
     68
     69**Progress**:
     70- LDPC: Used Bayesian optimization to initially tune, saw results, and then included more parameters that may be having an impact. Did research into how the model works and what parameters would have the most impact.
     71
     72==== WEEK EIGHT ====
     73[https://link.to/week1_presentation Week 8 LDPC Presentation]\\
     74[https://link.to/week1_presentation Week 8 RF Digital Fingering Presentation]\\
     75
     76**Progress**:
     77- LDPC: Plotted first SNR vs. BER plot, going to change parameters and try plotting again. Integrated larger examples into the model, using python ldpc generator script
     78
     79==== WEEK NINE ====
     80[https://link.to/week1_presentation Week 9 LDPC Presentation]\\
     81[https://link.to/week1_presentation Week 9 RF Digital Fingering Presentation]\\
     82
     83**Progress**:
     84-
     85
     86==== WEEK TEN ====
     87
     88[https://link.to/week1_presentation LDPC Final Presentation]\\
     89[https://link.to/week1_presentation RF Digital Fingering Final Presentation]\\
     90
     91**Summary**:
     92 
     93
     94== Acknowledgements ==
     95
     96We want to thank Minsung Kim and Byungjun Kim for their guidance throughout the summer. We also thank Jennifer Shane, Ivan Seskar, and the WINLAB faculty and staff for their support.
     97
     98== References ==
     99
     100