**Approfondimenti**

**The transformative role of Telecommunications and Information Communication Technologies (ICT) has long been witnessed as a precursor of the scientific progress and economic growth in the modern world. Today, like never before, we are witnessing a pervasive diffusion of ultra-broadband fixed-mobile connectivity, the deployment of Cloud-native 5G network and service platforms and a wide adoption of Artificial Intelligence.**

**This is the so-called Digital Transformation, surely bringing far reaching techno-economic impacts on our Society. Nevertheless, this transformation is still laying its foundations on Electronics and the impending end of Moore’s Law: therefore, a rethinking of the ways of doing computation and communications have been already started. Will quantum technologies be the next breakthrough? **

**As a matter of fact, a first quantum revolution started decades ago and has already brought quantum technologies in our everyday life. Now, a second revolution is underway.**

**This article, which has been presented by the Author as IEEE Distinguished Industrial Speaker, will provide an overview of the state of the art, challenges and opportunities posed by a coming second wave of quantum technologies and services.**

**Quantum technologies are already here**

Today, Software Defined Network (SDN) and Network Function Virtualization (NFV) are offering the opportunity of designing and operating 5G infrastructures with unprecedent flexibility. In fact, an orchestrated use of Cloud, Edge-Fog computing and network virtual resources can deliver a *continuum* of capabilities, functions and micro-services through the so-called 5G Cloud-native infrastructures.

Sustainability of future network scenarios will have to face several techno-economic challenges, such as: the transmission and processing of enormous, and increasing, quantity of data with ultra-low latencies, automation of management and control processes, the fulfilment of the strict requirements of resilience, security and privacy, optimization of energy consumption, and so on.

Indeed today we are living a Digital Transformation, bringing far reaching techno-economic impacts on our Society. Nevertheless, this transformation is still laying its foundations on Electronics and the impending end of Moore’s Law: therefore, a rethinking of the ways of doing computation and communications have been already started. Will quantum technologies be the next breakthrough?

As a matter of fact, a first quantum revolution started decades ago and has already brought quantum technologies in our everyday life. Chips for computers and smart-phone, systems for medical imaging (Nuclear Magnetic Resonance, Positron Emission Tomography), LED and lasers, etc. are all based on technologies exploiting the quantum mechanics principles.

Now a second revolution seems to be underway: in fact, there is a new impressive grow of interests for quantum, with several investments from public and private organizations worldwide (see Box 1) targeting new horizons of applications. In particular, there are three quantum phenomena, well known and well tested in Physics, which are not fully exploited yet by Industry.

These phenomena are: superposition, entanglement and measurement.

- Superposition concerns the property of quantum objects to stay in linear combination of multiple states until they are observed.
- Entanglement is defined as the possibility that two or more quantum objects to stay intrinsically linked, into an intertwined composite state, regardless of how far apart the objects are from one another. Recently hyper-entanglement has been discovered, defined as the entanglement in multiple degrees of freedom (DOFs) of a quantum system, such as polarization, spatial-mode, orbit-angular-momentum, time-bin and frequency DOFs of photons.
- Measurement regards the collapse and disruption of a quantum state from coherent probabilistic superposition state into a discrete one.

When quantum technologies will become mature enough to control and exploit these three phenomena, then there will be the impact of this second revolution over many markets, ranging from Telecom and ICT, to Medicine, to Finance, to Transportation, and so on. Significant work is still needed but, in light of the potential opportunities and threats of this second revolution, a lot of investments are being made worldwide.

**Bits, Qubits and Quantum Gates**

As a digital system manipulates Bits, a quantum system manipulates Qubits. A Qubit is the well-known basic unit of quantum information. A Qubit can be coded by a quantum system having two-states (or two-levels), for example: the spin of an electron (spin up and spin down).

Photons are special qubits in that they possess several independent properties such as polarization, spin angular momentum or orbital angular momentum. These degrees of freedom can all be employed to encode quantum information. The number of accessible qubits can be increased beyond the number of particles by the simultaneous entanglement of multiple photons and multiple degrees of freedom (hyperentanglement). The three degrees of freedom of six photons, for example, can provide control over an 18-qubit ensemble.

A weird and remarkable property of quantum information is that a qubit can stay simultaneously with two values 0 and 1 (superposition of states), until it collapses, for example when a measurement is made.

In other words, while a Bit is either 0 or 1, a qubit can be seen as a linear combination of the two states (0, 1) with coefficients which are complex numbers. This allows representing the interactions between quantum states in terms of constructive and destructive interference of quantum information waves.

## Figure 1 - Bits vs quantum bits (qubits)

This means that two qubits can be in a superposition of four states, three qubits can be in a superposition of eight states… and so on. Therefore, generalizing while N bits can take one of 2^{N} possible permutations, N qubits can stay in a superposition of all 2^{N} possible permutations. This have remarkable consequences in computation.

A quantum register - associated to N qubits - may have a state which is the superposition of all 2^{N} values simultaneously: therefore, by applying a quantum operation to the quantum register would result in altering all 2^{N} values at the same time. This property allows quantum computers to elaborate qubits with “a sort of parallel computation” reducing the processing time (from exponential to polynomial time) for solving certain complex problems.

In general, there are two main classes of quantum computers: analog and gate-based.

Analog quantum computers include annealers, adiabatic computers, i.e., systems which solve problems by directly manipulating the interactions between qubits rather than breaking actions into more abstract gate operations.

Gate-based quantum computers, sometimes referred to as universal quantum computers, use logical gate operations (AND, OR, etc.) on qubits. Quantum logic gates are the building blocks of quantum circuits: for example, CNOTs and unitary single qubit operations form a universal set of quantum computing.

## Figure 2 - Quantum Logic Gates

It should be mentioned that it is also possible to simulate quantum–gates computers by using classical computers. There exists a variety of software libraries that can be used, each with different purposes: a comprehensive list of tools is available on Quantiki [1]. Simulation can be made, for instance, using OpenCL (Open Computing Language) [2] which is a general-purpose framework for heterogeneous parallel computing on standard hardware, such as CPUs, GPUs, DSP (Digital Signal Processors) and FPGAs (Field-Programmable Gate Arrays).

There are multiple ways to build gate-based quantum computers manipulating qubits. Table 1 provides an overview (not exhaustive): superconductors and trapped ions are presently the most advanced implementations [3].

## Table 1 - Examples of gate-based approaches for developing quantum computers

**Quantum Algorithms and Software**

Most of the optimization problems in the fields of ICT and Telecommunications are currently solved with algorithms for finding suboptimal solutions, because of the excessive cost of finding an optimal solution. Some of these problems includes: e.g., network planning, joint optimization of multiple functions, such as radio channel estimation, data detection and synchronization, Data Center resources and energy optimization.

Today, Quantum annealers (e.g., D-Wave) are already being used to solve some combinatorial and optimization problems. Nevertheless, quantum annealers are not properly quantum computers: they are specialized computing systems based on quantum heuristics. In most cases, the problem to be solved is encoded into an Ising-type Hamiltonian, which is then embedded into a quantum hardware graph to be solved by a quantum annealer.

Gate-based quantum computers use another approach. For instance, figure 3 shows the comparison of the two approaches for the execution of quantum algorithms workflows. In the gate-based approach the problem is formulated in a way for selecting a proper quantum algorithm. Then the quantum algorithm is transformed in a quantum circuit (i.e., using quantum gates) which is either executed on a quantum processor or simulated.

## Figure 3 - Quantum algorithms workflows: on a gate-model computer (left), on a quantum annealer (right).

In both cases, random fluctuations (e.g., heat or quantum-mechanical phenomena), could occasionally flip or randomize the state of qubits: this is introducing errors and potentially derailing the validity of the calculations. This is why many of these quantum systems require special vacuum environments, the adoption of cryogenic systems and error corrections methods. In particular, quantum error correction involves a substantial multiplication of resources: the number of physical qubits required may be orders of magnitude greater than the number of error-free logical qubits seen by the algorithm.

In general, we may say that there are two main classes of quantum algorithms, derived as generalization from the Shor’s algorithm for factoring (capable of breaking a lot of public-key cryptography) and the Grover algorithm for searching. The website “Quantum Zoo” [4] has gathered a comprehensive list of said classes of algorithms, briefly describing their operation.

It should be mentioned that for near term quantum applications, hybrid quantum/classical algorithms are also very promising. A common characteristic of these approaches is that the quantum computer is rather simplified: it is only in charge of carrying out a subroutine, acting as a “coprocessor” while the larger scale algorithm is governed by a classical computer. In this case a higher error rate per operation is tolerable. It may even be possible to implement such quantum algorithms without quantum error correction.

In summary, when comparing quantum algorithms with their classical counterparts, it appears that employing quantum systems specific performance targets may be reached at a lower computational complexity: on the other hand, an analytical demonstration of the levels of efficiency of quantum computers and algorithms in addressing computational complexity require further studies.

Concerning software languages and tools, the scenario is very active but still rather fragmented: the reference [5] provides an overview of open-source software projects and encourages the coalition of larger communities.

Sliq [6] is an example of recent progresses in the definition of a simple and powerful quantum language. Sliq has been designed to address the challenge to enable Programmers to work at high level of abstraction. An intuitive semantics allows implicitly to drop temporary values, as in classical computation.

Soon we may even expect the emergence of quantum app stores. Not app stores like the one we access with our smartphone, but similar to code repositories, such as GitHub, types of library where quantum software developers make the code they have written available to anyone [7].

For more details see the article by M. Amoretti “Quantum Software”, in this volume.

We conclude noting that the interest in quantum software is very high. The number and value of venture capital deals, particularly in quantum software and computing startups, is increasing, reaching a total of 32 deals in 2018 at a total value of US$173 million in 2018 [8].

**Application areas for Quantum **

International innovation activities and Standardization Bodies are pretty aligned in identifying four main applications areas of quantum technologies and services: communications, computing, simulations, sensing and metrology.

The area of Quantum Communications includes two main sub-domains: the so-called quantum-safe communications and the “teleporting” of qubits (e.g. Quantum Internet, whose TRL is 1-2). Quantum-safe communications leverage on systems such as Quantum Key Distribution (QKD) and Quantum Random Number Generators (QRNG) which have a TRL 7-9. Regarding the status of the developments of the Quantum Internet see the article by S. Cacciapuoti and M. Caleffi “The Quantum Internet: the next ICT revolution”, in this volume.

Quantum Computing has been already touched in the previous section. The area concerns the exploitation of the three principles of superposition, (hyper)entanglement and measurements, to speed up over classical computers in solving complex optimization and combinatorial problems.

Quantum simulations concerns all those applications where well-controlled quantum systems are used to simulate the behavior of other systems, which are less accessible and more complex for a direct simulation (TRL 6-9). Table 2 provides some examples of applications.

Quantum sensing and metrology includes those applications where high sensitivity of quantum systems to environmental influences can be exploited to measure physical properties and timing with more precision (e.g. magnetic and heat sensors, gravimeters, GPS-free navigators, clocks; TRL is 4-9).

Overall, while some quantum applications are already commercially available today (e.g., QKD and QRNG, quantum annealers, quantum simulations, atomic clocks and some quantum sensors) the current use of the second wave of quantum technologies is still relatively limited. This is due to both technical limitations and tradeoffs between technical performance and costs. Further progresses are needed. On the other hand, international community is recognizing the disruptive potentialities of these technologies in several markets when a breakthrough will be reached.

## Table 2 - Examples of applications for quantum technologies (not exhaustive)

**Conclusions**

A first quantum revolution has already brought quantum technologies in our everyday life, since decades. Chips for computers and smart-phone, systems for medical imaging (Nuclear Magnetic Resonance, Positron Emission Tomography), LED and lasers, etc. are all based on technologies exploiting the quantum mechanics principles.

Now a second revolution seems to be underway, leveraging on the three quantum principles of superposition, (hyper-)entanglement and measurement. It is safe to predict that a second wave of quantum technologies could potentially have a major impact in many markets, ranging from Telecom and ICT, to Medicine, to Finance, to Transportation, and so on. Significant work is still needed to develop enabling components and systems but in light of the potential opportunities and threats, quite a lot of investments are being made worldwide across the public and private organizations.

In quantum communications, a technological breakthrough is need for developing quantum repeaters: this would be a key step for both long-distance QKD and distributed quantum computing. Concerning quantum computing, a roadblock is mitigating the random fluctuations that could occasionally flip or randomize the state of qubits during processing. Innovative qubits coding (e.g., in topological computing) and availability of efficient methods of quantum error correction are two to the main expected key milestones. Quantum software scenario is very active but rather fragmented: major efforts are directed to define languages to enable Programmers to work at high level of abstraction.

Standardization efforts are also set to help coordinating and accelerating progresses of quantum technologies. Multiple groups such as ANSI, ITU, IETF, ETSI, GSMA and IEEE are producing significant efforts. One key aspect concerns the integration of future quantum nodes and equipment (today for example QDK systems) in classic infrastructure (e.g., 5G): this requires the definition of interfaces and abstraction for management and control. The topics is also under study and experimentation in the Quantum Flagship projects of H2020 (e.g., QIA, CIVIQ and UNIQORN) [3].

## Figure 4 – Tentative roadmap for quantum technologies and services [3]

**References**

[1] Quantum Information Portal and Wiki, available at https://quantiki.org/wiki/list-qc-simulators

[2] Kelly, A. Simulating quantum computers using OpenCL. arXiv preprint arXiv:1805.00988 (2018).

[3] OIDA QUANTUM PHOTONICS ROADMAP, Every Photon Counts - March 2020

[4] Quantum Algorithms Zoo, available at http://quantumalgorithmzoo.org/#acknowledgments

[5] Fingerhuth, M.; Babej, T.; Wittek, P. Open source software in quantum computing. PLoS ONE 2018, 13, e0208561.

[6] https://ethz.ch/en/news-and-events/eth-news/news/2020/06/the-first-intuitive-programming-language-for-quantum-computers.html

[7] The Quantum App Store Is Coming, Scientific American 9^{th} June 2020, available at https://www.scientificamerican.com/article/the-quantum-app-store-is-coming/

[8] Quantum gold rush: the private funding pouring into quantum start-ups, Nature News Features 02^{nd} October 2019, available at https://www.nature.com/articles/d41586-019-02935-4