Recent comments from SciRate

Tim Bode Jun 02 2022 08:54 UTC

Corresponding software can be found here: [KadanoffBaym.jl][1]

[1]: https://github.com/NonequilibriumDynamics/KadanoffBaym.jl

Shu Kanno Jun 02 2022 08:37 UTC

Thank you for an interesting work and citation of our paper!
I'm reading your paper and noticed that our work is described as "Qubit and gate resources required for Trotterized Hamiltonian simulation algorithms of fully local Hamiltonians (without intercell interactions) have recently been investiga

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Once Upon Jun 01 2022 20:21 UTC

For an article whose title starts with "the battle of clean and dirty", and about barren plateaus, I felt compelled to make a meme with this classic template! I hope you enjoy! (Please understand that I'm not trying to make any religious statement here :) )

![a meme of Jesus and Satan fighting ab

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Suguru Endo Jun 01 2022 09:25 UTC

This paper for studying the optimality for collective measurements seems very interesting. One of the nice points of this paper is to apply error mitigation for metrology; however, our paper has already proposed error mitigation to metrology .... but it is not referred in this paper. Our paper demon

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Mark M. Wilde May 31 2022 01:26 UTC

This paper of Hilary Carteret

https://arxiv.org/abs/quant-ph/0309216

already put forward the method given, for estimating the moments of the partially transposed density matrix of a bipartite state. It does not appear to be cited in the manuscript.

Andrew Tan May 28 2022 23:59 UTC

This is a cool result. The Glynn-Kan operator looks correct, which is really neat because it formulates solving the matrix permanent in terms of the expectation value (over the uniform superposition of **2N** qubits) of a diagonal 2-local Hamiltonian with **N^2** terms, which is straightforward to s

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Andrew Tan May 28 2022 22:56 UTC

In order for this result to actually efficiently solve a #P hard problem, this result just needs to be able to approximate the permanent for any real matrix within *any* relative error. This is due to Corollary 6 of https://www.scottaaronson.com/papers/sharp.pdf.

If I recall correctly, the JSV al

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Suguru Endo May 27 2022 11:36 UTC

Your answer is very clear!! Thank you very much, and this result is very interesting, and I will read this paper!

Samson Wang May 27 2022 09:21 UTC

Hi Suguru, thanks for your question! We find exponential concentration of observables, as in a normal noise induced barren plateau. However, in our setting now the exponent is now rescaled by the ratio of the number of noisy qubits to the total number of qubits. So indeed this can be thought of as m

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Suguru Endo May 27 2022 03:23 UTC

Thank you very much for a very interesting work! Does this work help the mitigation of noise induced barren plateau, i.e., the base of the exponential concentration of the observable is reduced?

Yu-Jie Liu May 24 2022 15:24 UTC

Hi Steve, thanks for your comments.

Regarding your second concern:

This is addressed by the "Ising-type" recovery dissipators we define,
which have the form $aP$ with $a$ being the annihilation operator on a
given site and $P$ being a projector on a particular configuration of
domain walls surroun

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Steve Flammia May 23 2022 22:36 UTC

I guess I have two concerns. First, it seems that to get a mathematical threshold requires taking $N\to\infty$. This fact does not say anything about finite-size scaling (as you point out), but it does mean that this proposal requires infinite energy density to have a true threshold. If infinite ene

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Ryan Babbush May 23 2022 22:34 UTC

Actually, our experiment and analysis goes up to 16 qubits, not 8 qubits, and uses a million measurements. Your paper estimates the number of measurements for 16 qubits at about 1e8, two orders of magnitude more pessimistic than what we found.

The quote I selected from our appendix mentions a certa

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Yu-Jie Liu May 23 2022 20:40 UTC

Hi Steve, Thanks for the comment. While $N\to\infty$ is the ideal limit, the logical phase-flip error rate is exponentially small in $N$ so that for practical purposes $N$ might not need to be too big to achieve the desired level of accuracy (such as for a single cat qubit experiment). Similarly, we

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Giuseppe Carleo May 23 2022 19:41 UTC

Ryan, mostly in the main text you write "...we propose a **scalable**, noise-resilient..." and "...the flexibility and **scalability** of our proposed approach..." etc. The emphasis on scalability certainly pervades the whole article and it's one of the main selling points. The appendix does not rea

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Steve Flammia May 23 2022 18:27 UTC

This construction achieves self-correction by requiring the mean photon number N → ∞, which costs infinite energy per subsystem.

Ryan Babbush May 23 2022 17:37 UTC

In Appendix F we write: “Therefore, as the system size increases towards the thermodynamic limit, we would expect that QC-AFQMC formally requires exponentially more measurements to maintain the relative precision”. I’m sorry if you found that statement unclear (the point of that appendix was to eluc

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Giuseppe Carleo May 23 2022 11:59 UTC

Several points of clarification are in order here:

1. We believe that referring to general computational complexity arguments to explain the intrinsic lack of scalability of a given algorithm only obfuscates the discussion and introduces further elements of confusion in the field.
The issue

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Ryan Babbush May 20 2022 16:25 UTC

The challenge referred to in this paper was first identified and discussed extensively in the original text by Huggins et al. - see, e.g., Appendix F. Although there are some differences, the problem is similar in spirit to the vanishing of initial state overlaps when preparing ground states via qua

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Sevag Gharibian May 20 2022 15:12 UTC

Minor typo - de Beaudrap is spelled wrong in your abstract! Thanks for posting!

Jon Tyson May 19 2022 14:34 UTC

A previous construction of so-called "dual unitaries" from biunimodular functions appeared in
https://arxiv.org/abs/quant-ph/0306144. (See Theorem 7 and the discussion in section 4.)

Arthur G. Rattew May 17 2022 08:08 UTC

Hi Johannes,

Sorry for the delay in responding -- this has been a busy period for both Bálint and myself.

We appreciate your input, and will certainly address these points comprehensively in an updated version of the paper.

Additionally, we will reach out to you to ensure that our comment

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Alex Meiburg May 16 2022 17:37 UTC

The approach of Jerrum/Sinclair/Vigoda is restricted to matrices with non-nonnegative entries. My understanding is that this is viewed as an "essentially easy" case, no? Joonsuk Huh's algorithm would be more exciting to apply to matrices that include negative entries?

Ryan Babbush May 11 2022 21:11 UTC

The claim made in the final sentence of this abstract is not substantiated by any available evidence. This sort of hype is detrimental to the quantum computing field and should be called out, especially when it is difficult to believe such claims are made in good faith.

Johannes Bausch May 11 2022 07:28 UTC

Thanks a lot for your quick answer!

Regarding the normal distribution, I think there is a difference in the meaning of $N=2^n$ in our papers; for you it appears to be the resolution over a fixed domain (if I'm not mistaken?), whereas in 2009.10709 it is an absolute coordinate. This means that in

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Arthur G. Rattew May 10 2022 03:57 UTC

Dear Johannes,

Thank you for your comment. The black-box state preparation techniques you have referenced are quite interesting and will certainly be useful in practice!

In the following, we assume that $n$ is the number of qubits, and $N = 2^n$ is the resolution.

First, our query complexi

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Johannes Bausch May 09 2022 07:07 UTC

Dear Arthur, dear Balint,

Really interesting paper, thanks! As Craig I have a question regarding your technique's efficient, namely in comparison to known black box state preparation tasks, for instance 1807.03206, 2009.10709, and more recently 2105.06230. (1) and (2) are of the same nature; (3)

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John van de Wetering May 07 2022 22:54 UTC

In https://dl.acm.org/doi/10.1145/1008731.1008738 it is shown how to classically approximate within polynomial time the permanent up to some given error epsilon. The trick there is that the time dependence is on poly(1/epsilon). If the time dependence is poly(log(1/epislon)) then the problem becomes

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Arthur G. Rattew May 05 2022 10:18 UTC

We refer to the algorithm as *quasi-deterministic* because (for analytical convenience) we only proved our error-bound using a single outcome of the measurement of the ancillary register (which happens asymptotically with probability 1), and assumed that we rejected all other outcomes. However, in p

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Craig Gidney May 04 2022 17:27 UTC

Ah, the deterministic aspect is important in some chemistry algorithms based on PREP+SELECT oracles. PREP is a bit poorly named because it has to run in contexts where its input is not all reset qubits, in order to maintain coherence during amplitude amplification. You would want to have very good c

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Arthur G. Rattew May 04 2022 11:17 UTC

Hello Craig,

Thank you for your question.

While rejection sampling adds an ancillary qubit to an initial state and applies conditional single-qubit rotations to it (such that after measuring out the ancilla qubit the desired state is obtained with some probability), we go all the way and devi

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Craig Gidney May 03 2022 08:08 UTC

What are the advantages of this method over rejection sampling, which also scales inversely in the filling ratio and requires one call to the oracle per attempt?

Victory Omole May 02 2022 18:18 UTC

Ah, that makes sense. Thank you for the detailed answer. I will try Qermit out!

Dan Mills Apr 28 2022 08:49 UTC

Hi Victory, many thanks for your message! Mitiq is great, and you're quite right that it breaks down the implementations of each protocol. In the case of Mitiq this could be seen as a result of the attentive development of the software. In the case of Qermit this breakdown of protocols into submodul

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Dominik Hangleiter Apr 26 2022 18:07 UTC

Thanks, Lorenzo, for your reply. That makes sense, and I fully agree with everything you say :).

Maybe it's worth to stress that point then: your result applies to *families of states* that are defined by their amount of magic rather than individual states, correct?

Victory Omole Apr 26 2022 15:58 UTC

Thanks for this package! The paper says

> Qermit is complementary to Mitiq [23], which is an opensource Python toolkit that implements an overlapping set of error mitigation schemes. Qermit takes a different approach that
breaks-down the implementation of each protocol into standalone modular un

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Lorenzo Leone Apr 26 2022 15:44 UTC

Dear Dominik, happy to hear from you. We are sorry for the late response.

The answer is yes and no. From the one hand, what you say is true. You can perform direct fidelity estimation on the state $(U_{1}\otimes\ldots U_{n})|\psi\rangle $ by expanding the fidelity between the theoretical state an

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Jon Tyson Apr 26 2022 07:27 UTC

What is referred to as "dual unitaries" was previously called "maximally entangled unitaries" in https://arxiv.org/abs/quant-ph/0306144, and more such operators were constructed there from biunimodular functions. They are maximally entangled in the sense of Mike Nielsen's operator schmidt decomposi

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Dominik Hangleiter Apr 20 2022 21:33 UTC

Hi Lorenzo, Salvatore and Alioscia,

consider an $n$-qubit stabilizer state $| \psi \rangle$ with stabilizers $S_1,\ldots, S_n$. Then the state $U | \psi \rangle$ with $U = U_1 \otimes \cdots \otimes U_n$ for *arbitrary* single qubit unitaries $U_1, \ldots, U_n$ is stabilized by $U S_1 U^\dagger

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Robin Blume-Kohout Apr 13 2022 16:29 UTC

*I've removed the text of this comment, because it addressed a prior comment that has since been deleted. Absent the prior comment, there is no need for my words to appear here. However, I've chosen not to delete the comment entirely in order to leave a record that there was once a discussion here

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Shawn Geller Apr 05 2022 14:40 UTC

Comments are welcome!

Blake Stacey Apr 04 2022 02:23 UTC

This is an interesting development!

Up until this point, it has seemed to me that while the RQM literature endorsed up front a strong form of relationalism, when one dug into the details, the writing backed away from it. For example, measurement outcomes were treated as relative to an observer, b

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Tom O Mar 30 2022 14:59 UTC

Hey Hong-Ye, yes thank you for the reply!

Hsin-Yuan Huang Mar 26 2022 17:46 UTC

Hi Jerome,

Thank you so much for the additional references! We will include these works in the next update.

Best regards,

Robert (Hsin-Yuan Huang)

Jerome Gonthier Mar 24 2022 13:14 UTC

Very interesting! Regarding Section III.G about variational quantum-classical algorithms, it could be worth mentioning grouping methods that are not directly related to randomized measurements. Indeed, these methods seem to outperform classical shadow methods in several examples. See Fig. 3 in http

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Alex Meiburg Mar 23 2022 20:53 UTC

I enjoyed this paper! One question, on equation (3) and the immediately preceding definition of P_n(U), is the a_n supposed to be a_{n+1}?

Hong-Ye Hu Mar 21 2022 19:10 UTC

Hi Tom, thanks for your interest. In the second case you mentioned, it is still a $[[N=nk,k]]$ error correction code.

If one uses global Clifford group for shadow tomography, the sample complexity for predicting O scales as the rank of operator, here it would be P*O, where P is the projection op

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Tom O Mar 20 2022 22:50 UTC

Really nice! One thing I'm not sure about after reading is whether the $k$ in the $4^k$ in the bound for sample complexity refers to either:

1. the $k$ in the stabiliser code definition i.e. $[n,k]$ indicates you can encode $k$ logical qubits in $n$ physical qubits.
2. The total number of logi

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Kaelan Donatella Mar 11 2022 09:45 UTC

Hi,

I found your work quite interesting and original in the way you change the storage of an operator. Maybe you would be interested in this somewhat similar work, that also works for weakly dissipative bosonic systems https://arxiv.org/abs/2102.04265 (see appendix I.5 and figure 6)

Best

Sevag Gharibian Mar 04 2022 17:44 UTC

This was an important conversation to start, thank you for doing it.