Majorana Zero Modes and Topological Qubits
Combinatorics and more 2025-02-21
This post contains the first item, devoted to Majorana zero modes, from an ambitious planned post on some quantum physics mysteries, related to quantum information and computation. (Some items are also related to noise sensitivity and associated Fourier analysis.)
Majorana zero modes are fascinating quantum objects in their own right whose creation would be an important first step towards topological quantum computers.
I decided to post this item separately because a few days ago, Microsoft announced successful creation of both Majorana zero modes and topological quantum qubits. (See this post over “Shtetl Optimized”, and also here.) This announcement (as earlier announcements in the area) is controversial and the paper should be carefully scrutinized.
Majorana zero modes and topological quantum computing
On the left you can see David DiVincenzo’s famous 7-steps road map to quantum computers (the picture is taken from a paper by Devoret and Schoelkopf). On the right an analogous roadmap for topological quantum computing. My argument about quantum computation would exclude reaching high-quality topological qubits and I am curious if my theory allows the creation of Majorana zero modes.
Question 1: Is it possible to create convincing demonstrations of Majorana zero modes (MZM)?
Majorana zero modes are quantum states whose creation is considered a crucial first step towards topological quantum computing.
A few more details on the physics: a Majorana fermion (proposed by Majorana in 1937) is a fermion that is its own antiparticle. They were not decisively observed in high-energy physics but commonly believed to describe certain neutrinos. Condensed-matter analogs of Majorana fermions were constructed and they represent the Bogoliubov quasiparticle. Majorana zero modes are Majorana fermions with an additional property and they were not (convincingly) constructed experimentally so far. See the review paper from 2015 Majorana zero modes and topological quantum computation by S. Sarma, M. Freedman, & C. Nayak. The area of topological quantum computing was pioneered by Kitaev in the late 90s. Here is a classic 2003 survey article Topological quantum computing by Freedman, Kitaev, Larsen, and Wang.
Where do we stand now? There were a dozen or so experiments claiming to achieve MZM. (And quite a few other experiments claiming nonabelian anyons and related phenomena.) Proponents regard these experiments as good evidence but admit that other explanations not involving MZM are still possible. Opponents claim that in all the experiments it is much more likely that some mundane “quantum dots” were observed. In addition, opponents raised concerns regarding the quality and reliability of MZM experiments and at least one major MZM paper had to be retracted. Proponents disagree with some of these concerns and find them harmful to the field. Researchers from both sides believe that MZM can eventually be experimentally created. We mentioned this debate here, and see also this SO post (and discussion) “Sayorana Majorana”.
There are some attempts to demonstrate MZM on NISQ computers, see papers by Stenger et al., Rančić, and Mi et al. . (Even if successful, these attempts will only show some aspects of MZMs while not others.) Representing MZM over NISQ computers opens the door to a “no go” approach based on the complexity class LDP of Guy Kindler and me.
Question 2: Is it the case that samples from states demonstrating MZM on a NISQ computer goes (for large numbers of qubits) beyond the Kalai-Kindler LDP complexity class?
A positive answer to Question 2 would give some support to the assertion that MZM’s are inherently out of reach (namely to a negative answer to Question 1).
The computational class LDP
LDP is the class of probability distributions P on o-1 vectors of length n, that can be approximated by polynomials of bounded degree D. This class is a small subclass of probability distributions that can be approximated by
circuits (bounded depth circuits), which is itself a very tiny subclass of the class BPP of probability distributions that can be approximated by classical computation. The class LDP arose as a complexity class for sampling problems but we can adopt the same definitions for real functions (or Boolean functions) of n 0-1 variables.
Functions in LDP are efficiently learnable. (This is in contrast with functions in the much larger class .)
Additional details, comments, links and references
The very recent news from Microsoft
1) About the very recent Microsoft announcement. It is based on a paper that is just being published by “Nature” that was released as an arXiv preprint a year ago. Apparently, it is also based on further experimental work claimed by the Microsoft team in the past year. A curious aspect of the paper is that the editors and referees do not endorse the author’s claim that Majorana zero modes were demonstrated, but see other qualities in the physical devices described in the paper that merit publication. (Achieving a topological qubit is a further difficult step beyond MZMs.)
About the theory
Experimental progress
More experimental claims and controversy
A few more comments
Late and early conversations
12) In my very early days of skepticism (2005) Nick Read challenged me to extend my skeptical study to topological quantum computing. (John Preskill made a similar challenge in an email correspondence a year later; see below.). BTW, here is a nice 2012 article Topological phases and quasiparticle braiding, by Nick. My general argument about quantum computers excludes good quality topological qubits, and Question 2 above is related to the feasibility of MZM’s.
My lecture at Microsoft: Good news and bad news
“So the bad news is that Microsoft will fail in its quantum computer endeavor and the good news is that Google and IBM will fail as well.”
“The good news is that understanding the failure of quantum computers promises interesting insights and new connections for quantum physics.”
Three recent posts on quantum computing
- Robert Alicki, Michel Dyakonov, Leonid Levin, Oded Goldreich, and Others – A Summary of Some Skeptical Views On Quantum Computing.
- Roadmap for the Debate about Quantum Computers
- Seven Assertions about Quantum Computing.
From a 2006 email of John Preskill:
“The core of the idea of quantum fault tolerance is that the logical information processed by a quantum computer can be stored in a form that is inaccessible to local observers and therefore robust against local noise. A particularly vivid realization of this idea is the basis of topological quantum computing: for n widely separated anyons in a nonabelian topologically ordered two dimensional medium, there is an exponentially large Hilbert space describing the possible ways for the anyons to be “fused” together. All of the states in this Hilbert space look identical to any observer who can inspect the anyons only one at a time. Furthermore, the information can be processed if the anyon world lines execute a braid in spacetime, even though the anyons never come close to one another.
It might be interesting to think about what plausible noise model might prevent a highly entangled quantum state from being created in a topological quantum computer. Nonabelian anyons have not yet been seen experimentally, but probably will be within the next couple of years (in experiments with fractional quantum Hall systems). It might then be possible to test your hypotheses concerning nonlocal noise in such systems in the next ten years of so.”