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Questions tagged [annealing]

It is a metaheuristic for finding the global minimum of a given objective function over a given set of candidate solutions (candidate states), by a process using quantum fluctuations. (Wikipedia)

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Performance of quantum annealing systems vs gate based ones

Quantum annealers like D-Wave can be used to solve Quadratic Unconstrained Binary Optimization (QUBO) which is a NP Hard problem (see here) while gate based quantum computers, like the ones created by ...
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non-stoquastic vs quantum annealer

Why non-stoquastic Hamiltonian is difficult to implement for a quantum annealer? In another way, why stoquastic vs non-stoquastic matters? Thanks.
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Do encoding schemes for variational algorithms apply to annealing methods (e.g. DWave)?

I understand there are some efficient encoding schemes for variational algorithms, that attempt to approximate the variational state using fewer qubits. I'm thinking of 2 papers in particular, which ...
IsalanOnkar's user avatar
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Practical implementation of Shor and other factoring algorithms

I explore the realm of open-source quantum computers, particularly those available in the current or near-term future. My goal is to implement the largest possible integer factorizations. I would ...
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D-Wave hybrid solver

I am interested in using the D-Wave CQM hybrid solver for solving the job shop problem. I would like to get more information about the internal working of this solver but I have been unable to find ...
Mace's user avatar
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Interpretation of rounding the output of a quantum annealing solution for optimization problems?

I understand that quantum annealing approaches output a distribution of results of 0's and 1's for thequantum state. I'm wondering if this can be interpreted in the following way: For each qubit, we ...
somewhere's user avatar
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Why is quantum annealing not used in optimization for variational quantum algorithms?

I have been learning about variational quantum algorithms and encountered that none of the articles talk about using quantum annealers for optimization of the parameters ? I have however encountered ...
Chetan Waghela's user avatar
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Quantum Annealing on IBMQ using Qiskit-Pulse

Qiskit-Pulse is the analog level control SDK of IBMQ hardware. Is it possible to implement an adiabatic annealing protocol/algorithm on IBMQ hardware using Qiskit-Pulse? Not asking about QAOA, which I ...
The Quantum Enthusiast's user avatar
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I would like to know the textbook/paper on hamiltonian for rf-SQUID

I am a graduate student in the Department of Computer Engineering, and I am currently doing research on superconducting quantum computers. In particular, I am focusing on quantum annealing machines ...
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Can D-Wave presently solve real-world problems that conventional computers cannot solve?

There are number of threads on this site about the ability of QCs solving real-world problems (see for example What are the practical applications of quantum computing in engineering by the year 2030?,...
Max's user avatar
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Does the D-Wave hardware show any advantage for academic use-cases, for example in condensed matter physics?

The D-Wave team put out a few papers (like this one and this one) in the last few years describing how their methods can find ground states of certain spin-glass Hamiltonians faster than classical ...
sheesymcdeezy's user avatar
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Did D-Wave show quantum advantage in 2023?

I would like to know your thoughts on whether or not D-Wave has shown a a smoking-gun example of quantum advantage this year. I am genuinely not quite sure what to think, but I believe the answer to ...
sheesymcdeezy's user avatar
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Python code for D-Wave Annealer

In the below screenshot, I am aware of resolving the issue by reducing num_reads as the annealing time is exceeding my allowance. Although it works, my question ...
Sup's user avatar
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How to translate a problem for a gate-based quantum computer into an equivalent problem for a quantum annealer?

There is an offhand claim (somewhere) in https://www.youtube.com/watch?v=eFIk7wpU5vA that a quantum annealer is in principle a completely equivalent machine to a gate-based quantum computer, in the ...
James's user avatar
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How can I exactly solve a Quadratic Model with integer variables using DWave Ocean classical solvers?

As an example, let's consider the following simple QuadraticModel problem with just 3 INTEGER variables: ...
SimoneGasperini's user avatar
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Why is a large quantum annealer likely to leave its ground state?

For problems of significant size in quantum annealing, I have read that even for slow transitions, the annealer is likely to leave its ground state. I have not fully grasped the meaning of why exactly ...
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Extracting a QUBO matrix from pyqubo

I am benchmarking different QUBO solvers for a very simple instance of the knapsack problem. Some of these solvers require the matrix, Q, and offset, b, from the equation: $$ \begin{equation} x^{\...
Waqas Parvaiz's user avatar
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Is there any quantum annealer simulator offered by DWave?

I am searching for quantum annealer simulator offered by DWave. I found classical solvers in dimod packages that implement simulated annealing, but I couldn’t find solver that simulates the real ...
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Grover's algorithm to maximize QUBO functions

I'm trying to maximize a QUBO function f(x,y,z) = 3xy + 4xz - 3yz + 11y + z. How can I use Grover's algorithm to do this? I've been told to encode this cost ...
Van Peer's user avatar
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What is meant by the "quasi-locality" of the interactions in a quantum annealer?

I am reading a paper on Quantum Annealing [1], and the paper writes the following: "one of the fundamental challenges in building a fully programmable quantum annealer is the competing ...
Q.Ask's user avatar
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AQC definition modifications costs and pay-offs

I was wondering if one can think of a more general relation between alleviating conditions for the state in which the evolution takes palce in AQC paradigm and constraining the structure of the ...
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How to compare Quantum Annealing and Adiabatic Quantum Computing?

I'm still unsure on the difference between adiabatic quantum computing (AQC) and quantum annealing (QA). Please critique these interpretations: AQC: Define a Hamiltonian with an easy-to-prepare ...
Ken Robbins's user avatar
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Understanding of the transverse-field Ising model

I want to make sure whether I do understand the transverse Ising model correctly or not. The classical Ising model describes the interaction between spins in a grid and the state of spins can be ...
Kai-Chun Lin's user avatar
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1 answer
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Using entropy quantum computing for solving optimization problems

I would like to follow up on this question (What is Entropy Quantum Computing?). Company Quantum Computing Inc. announced that they made their quantum computer aimed at solving binary optimization ...
Martin Vesely's user avatar
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What arguments point towards D-Wave devices being potentially useful?

I'm looking for any evidence pointing towards D-Wave's approach to quantum computation being promising to achieve any sort of computational advantage with respect to classical devices. Note that I'm ...
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How does Fujitsu's digital annealer work?

I have read Fujitsu's white paper for a brief introduction to their device: http://marketing.us.fujitsu.com/rs/407-MTR-501/images/quantum-inspired-computing.pdf As far as I know, Fujitsu's hardware is ...
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How can a QUBO matrix with many identical, non-zero off-diagonal terms be made sparse?

I am with a QUBO matrix where entire off-diagonal sections are with the same value, which is the same between sections. Consider the following example (much smaller than those I am actually working ...
T. Zaborniak's user avatar
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2 answers
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Can D-Wave machines be applied to simulate Hamiltonians arising in quantum physics?

AFAIK D-Wave primarily advertises their machines as tools for solving problems with classical input, i.e. when the Hamiltonian to be minimized is a function of $Z$s. Can one use their machines in ...
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Why is quantum annealing often associated with the Ising model?

Quantum annealing is often associated with Ising Model, in the sense that the problem Hamiltonian needs to be in the form of an Ising Hamiltonian. Is this because the physical description of the ...
usercs's user avatar
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Is there any rigorous proof that Quantum Annealing provides a quantum advantage?

Is there any rigorous proof that Quantum Annealing (QA) is of any benefit (e.g. in terms of time to optimal solution, convergence rate, etc.) for a specific problem? Or any empirical evidence for the ...
Nepomuk Hirsch's user avatar
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Is digital quantum computing more powerful than the analog one?

What I get so far: Analog quantum computing: The Hamiltonian is implemented on the QC, solution is found by e.g. quantum annealing. The whole state is changing continuously. Digital quantum computing: ...
nuemlouno's user avatar
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Convert Hamiltonian to Ising Formulation or QUBO

I have a tridiagonal Hamiltonian matrix that I need to convert to QUBO or Ising format to use D-Wave's quantum annealing solvers. For a generic tridiagonal: \begin{pmatrix} a_1 & b_1 \\ c_1 & ...
MYang's user avatar
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Why do Quantum Annealer have (currently) a higher scaling potential?

One may categorize quantum computers in two classes: Quantum Annealer and (universal) Gate Quantum Computers. There may be also other categories. IBM announced 127 Qubits for their next Gate Quantum ...
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Quantum Annealing vs Quantum Monte Carlo: can QMC do all that QA can?

I'm working on an essay about quantum technology, and the connection between the annealing algorithm and quantum computing hardware is an important transition in the text. I'd like to know if there is ...
CW Lino's user avatar
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Is the Quantum Annealing model universal?

I understand that the D-Wave Quantum Annealer they have today is not a universal quantum computer. Is the reason that it's not universal because of the lack of error correction and lack of all-to-all ...
bubakazouba's user avatar
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Mathematical definition of QUBO problem

The quantum annealing approach is using the equivalence between QUBO matrix and Ising Hamiltonian to solve the problem. Therefore, it is necessary to transform a NP-hard problem into a QUBO matrix. ...
Kai-Chun Lin's user avatar
3 votes
1 answer
140 views

Can any binary problem be solved by a QUBO?

As far as I know, if a computing problem can be solved by the quantum annealing approach, it also means the solution space should be binary, e.g., a vector that only contains either 0 and 1. Otherwise,...
Kai-Chun Lin's user avatar
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Any simulator packages for quantum annealing/adiabatic quantum computation?

Are there any simulator packages for quantum annealing/adiabatic quantum computation, like Qiskit Aer but for quantum annealing? There seems to be only classical heuristics in D-Wave Ocean package, ...
haoyu's user avatar
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1 answer
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What is the relationship between the mixing operators and initial states found in QAOA and Quantum Annealing?

In many papers, the QAOA is shown to be intimately related to Quantum Annealing/Quantum Adiabatic Algorithm/Adiabatic Quantum Optimization. The mixing operator in the QAOA is described by Hadfield as ...
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1 answer
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Understand final Hamiltonian in Quantum Annealing

Currently, I’m studying quantum annealing in which the system evolves according to the Hamiltonian: $$ H(t) = H_F + \Gamma(t) H_D,\tag{1} $$ where $H_F$ is a final (classical) Hamiltonian, $H_D$ is a ...
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Example of lower bound on spectral gap for adiabatic quantum computing

is there a list of reference for which the authors prove a lower bound of the spectral gap for an adiabatic quantum algorithm? I.e. I am searching for examples where the authors solve a problem with ...
asdf's user avatar
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1 answer
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How is eigendecomposition of a Hamiltonian equivalent to finding the minimum of an energy function?

This question is in regards to Dwave's quantum computer which is tailored to solve QUBO problems using quantum annealing. QM tells us that the ground state of a quantum system is given by the ...
morpheus's user avatar
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1 answer
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Question about the counter diabatic(CD) term in Digitized Adiabatic Quantum Computing

Recently I have read two articles about the Digitized Adiabatic Quantum Computing(DAQC), and tried to factorize $35=5\times7$ and $2479=67\times37$. But some problems came when trying to solve the ...
Liu's user avatar
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What type of tasks it is possible to solve on a quantum simulator?

In this article, the author claimed that researches from Harvard and MIT created 256 qubits quantum simulator. However, we are not talking about piece of software on a classical computer but actual ...
Martin Vesely's user avatar
7 votes
2 answers
203 views

Quantum annealing - studies showing empirical evidence for better performance in comparison with classical computers

Currently, it is not known wheter quantum anneling or algorithms like VQE and QAOA for general purpose quantum computers bring about any increase in computational power. However, there are some ...
Martin Vesely's user avatar
1 vote
1 answer
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What do the numbers in the Ising sampleset mean?

I am trying to create a portfolio optimization with the DWave Quantum Computer. I wrote some code trying to somehow reconstruct the following Ising model paper: Ai ...
Liza Darwesh's user avatar
4 votes
0 answers
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What is the state-of-the-art annealing device for solving Ising problems?

I understand that in addition to D-Wave's quantum annealer, there have been other unconventional (although non-quantum) Ising solvers like the one from Toshiba, Fujitsu, the Coherent Ising machine, ...
Arun's user avatar
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1 answer
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Is Quantum Annealing threatened by the Quantum Gates approach?

Since Quantum Annealing is extremely powerful for optimization it is limited in scope. However, when a universal Quantum Computer based on gates arrives, it will have a wider scope including ...
Adhisha Gammanpila's user avatar
3 votes
1 answer
120 views

How to decide bias in Hamiltonian Ising model?

I am trying to code finance portfolio optimisation problem into a quantum annealer, using the Hamiltonian Ising model. I am using the dwave module ...
Liza Darwesh's user avatar
3 votes
1 answer
129 views

Relationship of Adiabatic Quantum Computing speedup to Quantum Random Walk hit time

Considering the following two phenomena: Adiabatic quantum computing in general exhibits a quadratic speedup over classical simulated annealing, though for some Hamiltonians it may be faster (while ...
Sideshow Bob's user avatar