A **topological quantum computer** is a theoretical quantum computer that employs two-dimensional quasiparticles called anyons, whose world lines pass around one another to form braids in a three-dimensional spacetime (i.e., one temporal plus two spatial dimensions).

These braids form the logic gates that make up the computer. The advantage of a quantum computer based on quantum braids over using trapped quantum particles is that the former is much more stable. Small, cumulative perturbations can cause quantum states to decohere and introduce errors in the computation, but such small perturbations do not change the braids’ topological properties. This is like the effort required to cut a string and reattach the ends to form a different braid, as opposed to a ball (representing an ordinary quantum particle in four-dimensional spacetime) bumping into a wall. Alexei Kitaev proposed topological quantum computation in 1997. While the elements of a topological quantum computer originate in a purely mathematical realm, experiments in fractional quantum Hall systems indicate these elements may be created in the real world using semiconductors made of gallium arsenide at a temperature of near absolute zero and subjected to strong magnetic fields.

Introduction

Anyons are quasiparticles in a two-dimensional space. Anyons are neither fermions nor bosons, but like fermions, they cannot occupy the same state. Thus, the world lines of two anyons cannot intersect or merge, which allows their paths to form stable braids in space-time. Anyons can form from excitations in a cold, two-dimensional electron gas in a very strong magnetic field, and carry fractional units of magnetic flux. This phenomenon is called the fractional quantum Hall effect. In typical laboratory systems, the electron gas occupies a thin semiconducting layer sandwiched between layers of aluminium gallium arsenide.

When anyons are braided, the transformation of the quantum state of the system depends only on the topological class of the anyons’ trajectories (which are classified according to the braid group). Therefore, the quantum information which is stored in the state of the system is impervious to small errors in the trajectories.^{[1]} In 2005, Sankar Das Sarma, Michael Freedman, and Chetan Nayak proposed a quantum Hall device that would realize a topological qubit. In a key development for topological quantum computers, in 2005 Vladimir J. Goldman, Fernando E. Camino, and Wei Zhou claimed to have created and observed the first experimental evidence for using a fractional quantum Hall effect to create actual anyons, although others have suggested their results could be the product of phenomena not involving anyons. Non-abelian anyons, a species required for topological quantum computers, have yet to be experimentally confirmed. Possible experimental evidence has been found,^{[2]} but the conclusions remain contested.^{[3]}

Topological vs. standard quantum computer

Topological quantum computers are equivalent in computational power to other standard models of quantum computation, in particular to the quantum circuit model and to the quantum Turing machine model.^{[4]} That is, any of these models can efficiently simulate any of the others. Nonetheless, certain algorithms may be a more natural fit to the topological quantum computer model. For example, algorithms for evaluating the Jones polynomial were first developed in the topological model, and only later converted and extended in the standard quantum circuit model.

**Computations**

To live up to its name, a topological quantum computer must provide the unique computation properties promised by a conventional quantum computer design, which uses trapped quantum particles. Fortunately in 2000, Michael H. Freedman, Alexei Kitaev, Michael J. Larsen, and Zhenghan Wang proved that a topological quantum computer can, in principle, perform any computation that a conventional quantum computer can do, and vice versa.^{[4][5][6]}

They found that a conventional quantum computer device, given an error-free operation of its logic circuits, will give a solution with an absolute level of accuracy, whereas a topological quantum computing device with flawless operation will give the solution with only a finite level of accuracy. However, any level of precision for the answer can be obtained by adding more braid twists (logic circuits) to the topological quantum computer, in a simple linear relationship. In other words, a reasonable increase in elements (braid twists) can achieve a high degree of accuracy in the answer. Actual computation [gates] are done by the edge states of a fractional quantum Hall effect. This makes models of one-dimensional anyons important. In one space dimension, anyons are defined algebraically.

**Error correction and control**

Even though quantum braids are inherently more stable than trapped quantum particles, there is still a need to control for error inducing thermal fluctuations, which produce random stray pairs of anyons which interfere with adjoining braids. Controlling these errors is simply a matter of separating the anyons to a distance where the rate of interfering strays drops to near zero. Simulating the dynamics of a topological quantum computer may be a promising method of implementing fault-tolerant quantum computation even with a standard quantum information processing scheme. Raussendorf, Harrington, and Goyal have studied one model, with promising simulation results.^{[7]}

Example: Computing with Fibonacci Anyons[edit]

One of the prominent examples in topological quantum computing is with a system of fibonacci anyons. In the context of conformal field theory, fibonacci anyons are described by the Yang–Lee model, the SU(2) special case of the Chern–Simons theory and Wess–Zumino–Witten models.^{[8]} These anyons can be used to create generic gates for topological quantum computing. There are three main steps for creating a model:

- Choose our basis and restrict our Hilbert space
- Braid the anyons together
- Fuse the anyons at the end, and detect how they fuse in order to read the output of the system.

**Gates**

Following the ideas above, adiabatically braiding these anyons around each-other with result in a unitary transformation. These braid operators are a result of two subclasses of operators:

- The F matrix
- The R matrix

The R matrix can be conceptually thought of as the topological phase that is imparted onto the anyons during the braid. As the anyons wind around each-other, they pick up some phase due to the Aharonov-Bohm effect.

The F matrix is a result of the physical rotations of the anyons. As they braid between each-other, it is important to realize that the bottom two anyons—the control group—will still distinguish the state of the qubit. Thus, braiding the anyons will change which anyons are in the control group, and therefore change the basis. We evaluate the anyons by always fusing the control group (the bottom anyons) together first, so exchanging which anyons these are will rotate the system. Because these anyons are non-abelian, the order of the anyons (which ones are within the control group) will matter, and as such they will transform the system.

The complete braid operator can be derived as:

In order to mathematically construct the F and R operators, we can consider permutations of these F and R operators. We know that if we sequentially change the basis that we are operating on, this will eventually lead us back to the same basis. Similarly, we know that if we braid anyons around each-other a certain number of times, this will lead back to the same state. These axioms are called the pentagonal and hexagonal axioms respectively as performing the operation can be visualized with a pentagon/hexagon of state transformations. Although mathematically difficult,^{[10]} these can be approached much more successfully visually.

With these braid operators, we can finally formalize the notion of braids in terms of how they act on our Hilbert space and construct arbitrary universal quantum gates.^{[11]}

References

**^***Castelvecchi, Davide (July 3, 2020). “Welcome anyons! Physicists find best evidence yet for long-sought 2D structures”. Nature. Retrieved September 23, 2020. Simon and others have developed elaborate theories that use anyons as the platform for quantum computers. Pairs of the quasiparticle could encode information in their memory of how they have circled around one another. And because the fractional statistics is ‘topological’ — it depends on the number of times one anyon went around another, and not on slight changes to its path — it is unaffected by tiny perturbations. This robustness could make topological quantum computers easier to scale up than are current quantum-computing technologies, which are error-prone.***^***Willet, R. L. (January 15, 2013). “Magnetic field-tuned Aharonov–Bohm oscillations and evidence for non-Abelian anyons at ν = 5/2”. Physical Review Letters.***111**(18): 186401. arXiv:1301.2639. Bibcode:2013PhRvL.111r6401W. doi:10.1103/PhysRevLett.111.186401. PMID 24237543.**^***von Keyserling, Curt; Simon, S. H.; Bernd, Rosenow (2015). “Enhanced Bulk-Edge Coulomb Coupling in Fractional Fabry-Perot Interferometers”. Physical Review Letters.***115**(12): 126807. arXiv:1411.4654. Bibcode:2015PhRvL.115l6807V. doi:10.1103/PhysRevLett.115.126807. PMID 26431008.- ^ Jump up to:
^{a}^{b}*Freedman, Michael H.; Larsen, Michael; Wang, Zhenghan (2002-06-01). “A Modular Functor Which is Universal for Quantum Computation”. Communications in Mathematical Physics.***227**(3): 605–622. arXiv:quant-ph/0001108. doi:10.1007/s002200200645. ISSN 0010-3616. **^***Freedman, Michael H.; Kitaev, Alexei; Wang, Zhenghan (2002-06-01). “Simulation of Topological Field Theories by Quantum Computers”. Communications in Mathematical Physics.***227**(3): 587–603. arXiv:quant-ph/0001071. doi:10.1007/s002200200635. ISSN 0010-3616.**^***Freedman, Michael; Kitaev, Alexei; Larsen, Michael; Wang, Zhenghan (2003-01-01). “Topological quantum computation”. Bulletin of the American Mathematical Society.***40**(1): 31–38. arXiv:quant-ph/0101025. doi:10.1090/S0273-0979-02-00964-3. ISSN 0273-0979.**^***Raussendorf, R.; Harrington, J.; Goyal, K. (2007-01-01). “Topological fault-tolerance in cluster state quantum computation”. New Journal of Physics.***9**(6): 199. arXiv:quant-ph/0703143. Bibcode:2007NJPh….9..199R. doi:10.1088/1367-2630/9/6/199. ISSN 1367-2630.**^***Trebst, Simon; Troyer, Matthias; Wang, Zhenghan; Ludwig, Andreas W. W. (2008). “A Short Introduction to Fibonacci Anyon Models”. Progress of Theoretical Physics Supplement.***176**: 384–407. arXiv:0902.3275. Bibcode:2008PThPS.176..384T. doi:10.1143/PTPS.176.384.- ^ Jump up to:
^{a}^{b}*Nayak, Chetan (2008). “Non-Abelian Anyons and Topological Quantum Computation”. Reviews of Modern Physics.***80**(3): 1083–1159. arXiv:0707.1889. Bibcode:2008RvMP…80.1083N. doi:10.1103/RevModPhys.80.1083. **^**Eric Paquette. Topological quantum computing with anyons, 1 2009. Categories, Logic and Foundations of Physics IV.**^**Explicit braids that perform particular quantum computations with Fibonacci anyons have been given by*Bonesteel, N. E.; Hormozi, L.; Zikos, G.; Simon, S. H.; West, K. W. (2005). “Braid Topologies for Quantum Computation”. Physical Review Letters.***95**(14): 140503. arXiv:quant-ph/0505065. Bibcode:2005PhRvL..95n0503B. doi:10.1103/PhysRevLett.95.140503. PMID 16241636.

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