The physicists, Nanyang Xu at the University of Science and Technology of China in Hefei, China, have published their study on the new quantum computation algorithm in a recent issue of *Physical Review Letters.* They explain that, despite the potential for factoring any size number, quantum algorithms still face fundamental challenges.

“Quantum algorithms can theoretically solve the factoring problem; however, it is still challenging for today’s technologies to control a lot of qubits for a long enough time to factor a larger number,” Xu told *Phys.org*. “The environmental noises and other imperfections make the quantum system so fragile that decoherence could destroy everything stored in qubits in a short time.”

As the physicists note in their study, the first and most well-known quantum algorithm for factorization is Shor's algorithm, which was developed by mathematician Peter Shor in 1994. This algorithm, which involves quantum entanglement, is based on a circuit model in which a sequence of operations is performed to solve the problem.

In the current study, Xu and coauthors use an alternative to Shor's algorithm called adiabatic quantum computation (AQC). Proposed by Edward Farhi, et al., in 2001, AQC was developed for optimization problems, in which the best value of many possible values is sought. Several computational problems, including factoring, have been formulated as optimization problems and then solved using AQC. Here, the scientists' algorithm builds on one of these formulations by Peng, et al., in 2008, which used AQC to factor the largest number before now, 21.

Unlike Shor's algorithm, AQC does not run through a sequence of operations, but instead relies on quantum adiabatic processes. More specifically, the algorithm finds a mathematical function called the Hamiltonian in which all possible solutions are encoded as eigenstates, and the correct solution is encoded as the ground state. To solve a problem, the algorithm gradually evolves the Hamiltonian according to a mathematical equation, resulting in the system reaching its ground state and providing the correct answer. (In its physical implementation, the system consists of a liquid-crystal nuclear magnetic resonance (NMR) system like those used in magnetic resonance imaging (MRI), in which magnetic nuclei absorb and re-emit radiation at a specific frequency.)

While the adiabatic-based strategy works well in theory, in reality it still faces challenges when factoring large numbers because the Hamiltonian's spectrum of all possible eigenstates grows exponentially with the size of the integer. So Xu and coauthors developed a way to suppress the spectrum's growth by simplifying the mathematical equations governing the Hamiltonian. In the end, the physicists' simplified equations significantly decreased the growth rate of the spectrum to make it easier to factor larger numbers than before.

“We use a new method and reduce the qubits needed in the algorithm, which finally made the factorization of 143 available in realization,” Xu said. “Our work shows the practical importance of the adiabatic quantum algorithm.”

In the future, the strategies used here could lead to even larger integer factorization by quantum algorithms.

“It is possible to factor a larger number using the strategies in our current paper on current quantum computing platforms,” Xu said. “In this issue, we plan to improve our control ability towards the NMR quantum processor to factor a larger number, and the exact time complexity of the algorithm is still an open question.”

**Explore further:**
Physicists Solve Difficult Classical Problem with One Quantum Bit

**More information:**
Nanyang Xu, et al. “Quantum Factorization of 143 on a Dipolar-Coupling Nuclear Magnetic Resonance System.” *PRL* 108, 130501 (2012). DOI: 10.1103/PhysRevLett.108.130501

## Tennex

## marciot

## Lurker2358

We are just blazing ahead with this quantum technology.

How many million dollars did this cost to develop this computer?

## Aliensarethere

## Tigah

I'm going with a yes BUT, based on: "Quantum algorithms can theoretically solve the factoring problem; however, it is still challenging for todays technologies to control a lot of qubits for a long enough time to factor a larger number, Xu told Phys.org. The environmental noises and other imperfections make the quantum system so fragile that decoherence could destroy everything stored in qubits in a short time.

As the physicists note in their study, the first and most well-known quantum algorithm for factorization is Shor's algorithm, which was developed by mathematician Peter Shor in 1994. This algorithm, which involves quantum entanglement, is based on a circuit model in which a sequence of operations is performed to solve the problem."

So, it's a shady yes.

## antialias_physorg

According to you we should have never started banging rocks together because the development of fire was still some days in the future.

Think of in what kind of abject poverty and terrible medical conditions you would be living in right now if we hadn't spent the occasional dollar on fundamental science in the past.

If you're over thirty you'd be likely already dead without it. So stop your whining.

## Lurker2358

Not quite.

We already have classical computers that can factor numbers larger than ordinary human comprehension, so it's quite a different animal.

At the rate things are progressing, they are still about 20 to 30 years or more away from creating a quantum computer that actually out-performs a mid-1990's era PC, even in simple "quantum-friendly" situations.

and it will probably cost a billion dollars each to do that.

It looks like quantum computers be factoring the first mega-byte sized number in about 30 years.

Normal computers did that several decades ago.

## wwqq

No, we do not have that. With conventional computers 128-bit symmetric keys are considered effectively unbreakable.

No, it will make non-special 128 bit numbers factorizable, but 256 bit numbers will still be out of reach.

Laughably wrong.