Resources on hybrid quantum-classical algorithms applied to combinatorial optimization problems
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I am doing a thesis on "Metaheuristics and Quantum Computing", and was wondering if anyone could recommend some papers/pages
to read talking about hybrid quantum/classical computing.
(My idea is to get quantum population, evaluate through classical
function and then considering the classical evaluation, change the original
state of qubits to get new quantum sample, and so on and so forth.)
quantum-algorithms resource-request optimization
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add a comment |
up vote
4
down vote
favorite
I am doing a thesis on "Metaheuristics and Quantum Computing", and was wondering if anyone could recommend some papers/pages
to read talking about hybrid quantum/classical computing.
(My idea is to get quantum population, evaluate through classical
function and then considering the classical evaluation, change the original
state of qubits to get new quantum sample, and so on and so forth.)
quantum-algorithms resource-request optimization
New contributor
1
Hello Pedro! I hope you don't mind that I edited your post to make it a little more concise.
– Niel de Beaudrap
Nov 17 at 21:49
Thank you Niel. It's much better now!
– Pedro Pepê
2 days ago
add a comment |
up vote
4
down vote
favorite
up vote
4
down vote
favorite
I am doing a thesis on "Metaheuristics and Quantum Computing", and was wondering if anyone could recommend some papers/pages
to read talking about hybrid quantum/classical computing.
(My idea is to get quantum population, evaluate through classical
function and then considering the classical evaluation, change the original
state of qubits to get new quantum sample, and so on and so forth.)
quantum-algorithms resource-request optimization
New contributor
I am doing a thesis on "Metaheuristics and Quantum Computing", and was wondering if anyone could recommend some papers/pages
to read talking about hybrid quantum/classical computing.
(My idea is to get quantum population, evaluate through classical
function and then considering the classical evaluation, change the original
state of qubits to get new quantum sample, and so on and so forth.)
quantum-algorithms resource-request optimization
quantum-algorithms resource-request optimization
New contributor
New contributor
edited Nov 17 at 21:48
Niel de Beaudrap
5,150931
5,150931
New contributor
asked Nov 17 at 14:46
Pedro Pepê
234
234
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New contributor
1
Hello Pedro! I hope you don't mind that I edited your post to make it a little more concise.
– Niel de Beaudrap
Nov 17 at 21:49
Thank you Niel. It's much better now!
– Pedro Pepê
2 days ago
add a comment |
1
Hello Pedro! I hope you don't mind that I edited your post to make it a little more concise.
– Niel de Beaudrap
Nov 17 at 21:49
Thank you Niel. It's much better now!
– Pedro Pepê
2 days ago
1
1
Hello Pedro! I hope you don't mind that I edited your post to make it a little more concise.
– Niel de Beaudrap
Nov 17 at 21:49
Hello Pedro! I hope you don't mind that I edited your post to make it a little more concise.
– Niel de Beaudrap
Nov 17 at 21:49
Thank you Niel. It's much better now!
– Pedro Pepê
2 days ago
Thank you Niel. It's much better now!
– Pedro Pepê
2 days ago
add a comment |
1 Answer
1
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So for hybrid quantum-classical algorithms, I suggest looking at :
- The Quantum Approximate Optimization Algorithm
Variational hybrid quantum-classical algorithms that include the so famous Variational Quantum Eigensolver applied for Max-Cut problems
PennyLane which helps you in developping hybrid computation for optimization problems and Machine Learning. They give a list of references for hybrid computation in their references like the Practical optimization for hybrid quantum-classical algorithms.
List is non exhaustive of course.
Thanks for your help. It's a great starting point. That is exactly what I was looking for.
– Pedro Pepê
2 days ago
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
4
down vote
accepted
So for hybrid quantum-classical algorithms, I suggest looking at :
- The Quantum Approximate Optimization Algorithm
Variational hybrid quantum-classical algorithms that include the so famous Variational Quantum Eigensolver applied for Max-Cut problems
PennyLane which helps you in developping hybrid computation for optimization problems and Machine Learning. They give a list of references for hybrid computation in their references like the Practical optimization for hybrid quantum-classical algorithms.
List is non exhaustive of course.
Thanks for your help. It's a great starting point. That is exactly what I was looking for.
– Pedro Pepê
2 days ago
add a comment |
up vote
4
down vote
accepted
So for hybrid quantum-classical algorithms, I suggest looking at :
- The Quantum Approximate Optimization Algorithm
Variational hybrid quantum-classical algorithms that include the so famous Variational Quantum Eigensolver applied for Max-Cut problems
PennyLane which helps you in developping hybrid computation for optimization problems and Machine Learning. They give a list of references for hybrid computation in their references like the Practical optimization for hybrid quantum-classical algorithms.
List is non exhaustive of course.
Thanks for your help. It's a great starting point. That is exactly what I was looking for.
– Pedro Pepê
2 days ago
add a comment |
up vote
4
down vote
accepted
up vote
4
down vote
accepted
So for hybrid quantum-classical algorithms, I suggest looking at :
- The Quantum Approximate Optimization Algorithm
Variational hybrid quantum-classical algorithms that include the so famous Variational Quantum Eigensolver applied for Max-Cut problems
PennyLane which helps you in developping hybrid computation for optimization problems and Machine Learning. They give a list of references for hybrid computation in their references like the Practical optimization for hybrid quantum-classical algorithms.
List is non exhaustive of course.
So for hybrid quantum-classical algorithms, I suggest looking at :
- The Quantum Approximate Optimization Algorithm
Variational hybrid quantum-classical algorithms that include the so famous Variational Quantum Eigensolver applied for Max-Cut problems
PennyLane which helps you in developping hybrid computation for optimization problems and Machine Learning. They give a list of references for hybrid computation in their references like the Practical optimization for hybrid quantum-classical algorithms.
List is non exhaustive of course.
answered Nov 17 at 16:10
cnada
1,616211
1,616211
Thanks for your help. It's a great starting point. That is exactly what I was looking for.
– Pedro Pepê
2 days ago
add a comment |
Thanks for your help. It's a great starting point. That is exactly what I was looking for.
– Pedro Pepê
2 days ago
Thanks for your help. It's a great starting point. That is exactly what I was looking for.
– Pedro Pepê
2 days ago
Thanks for your help. It's a great starting point. That is exactly what I was looking for.
– Pedro Pepê
2 days ago
add a comment |
Pedro Pepê is a new contributor. Be nice, and check out our Code of Conduct.
Pedro Pepê is a new contributor. Be nice, and check out our Code of Conduct.
Pedro Pepê is a new contributor. Be nice, and check out our Code of Conduct.
Pedro Pepê is a new contributor. Be nice, and check out our Code of Conduct.
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Hello Pedro! I hope you don't mind that I edited your post to make it a little more concise.
– Niel de Beaudrap
Nov 17 at 21:49
Thank you Niel. It's much better now!
– Pedro Pepê
2 days ago