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stroblme
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partiqleDTR
The PartiqleDTR project attempts to tackle the problem of particle decay tree reconstruction using hybrid quantum-classical machine learning approaches.
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Particle Track Reconstruction
#21
stroblme
opened
1 year ago
0
introduce poetry based tasks
#20
stroblme
opened
1 year ago
0
validate pqcs used in experiments for acat
#19
stroblme
opened
1 year ago
0
multiprocessing/ threading for gradient calculation
#18
stroblme
opened
1 year ago
0
cleanup pipelines
#17
stroblme
opened
1 year ago
0
add git-hooks
#16
stroblme
opened
1 year ago
0
Write CHEP abstract
#15
stroblme
opened
1 year ago
0
Consider different PQCs
#14
stroblme
opened
1 year ago
0
Consider variation of encoding strategy
#13
stroblme
opened
1 year ago
0
Check for options to improve Qiskit Simulation time
#12
stroblme
opened
1 year ago
0
Conduct more experiments to justify statements
#11
stroblme
opened
1 year ago
0
QMLP Experiments
#10
stroblme
opened
1 year ago
0
verify loss calculation and tree visualization
#9
stroblme
opened
2 years ago
0
QGNN: First classical end-to-end training
#8
stroblme
opened
2 years ago
0
Q+BB: Collect Results and Insights
#7
stroblme
opened
2 years ago
1
BB+Q: Collect Results and Insights
#6
stroblme
opened
2 years ago
0
B(Q)B: Collect Results and Insights
#5
stroblme
opened
2 years ago
1
(QNN) Verify reconstructed graphs and loss
#4
stroblme
opened
2 years ago
4
QGNN: Verbindung zu DQGNN prüfen
#3
stroblme
opened
2 years ago
0
QGNN: Erstellung von vollvernetzten Graphen
#2
stroblme
opened
2 years ago
0
test
#1
stroblme
opened
2 years ago
0