Internet-Draft | Quantum Internet Application Scenarios | June 2022 |
Wang, et al. | Expires 12 December 2022 | [Page] |
The Quantum Internet has the potential to improve application functionality by incorporating quantum information technology into the infrastructure of the overall Internet. This document provides an overview of some applications expected to be used on the Quantum Internet and categorizes them. Some general requirements for the Quantum Internet are also discussed. The intent of this document is to describe a framework for applications, and describe a few selected application scenarios for the Quantum Internet.¶
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The Classical Internet has been constantly growing since it first became commercially popular in the early 1990's. It essentially consists of a large number of end nodes (e.g., laptops, smart phones, network servers) connected by routers and clustered in Autonomous Systems. The end nodes may run applications that provide service for the end users such as processing and transmission of voice, video or data. The connections between the various nodes in the Internet include backbone links (e.g., fiber optics) and access links (e.g., fiber optics, WiFi, cellular wireless, Digital Subscriber Lines (DSLs)). Bits are transmitted across the Classical Internet in packets.¶
Research and experiments have picked up over the last few years for developing the Quantum Internet [Wehner]. End nodes will also be part of the Quantum Internet, in that case called quantum end nodes that may be connected by quantum repeaters/routers. These quantum end nodes will also run value-added applications which will be discussed later.¶
The physical layer quantum channels between the various nodes in the Quantum Internet can be either waveguides such as optical fibers or free space. Photonic channels are particularly useful because light (photons) is very suitable for physically realizing qubits. The Quantum Internet will operate according to quantum physical principles such as quantum superposition and entanglement [I-D.irtf-qirg-principles].¶
The Quantum Internet is not anticipated to replace, but rather to enhance the Classical Internet and/or provide breakthrough applications. For instance, quantum key distribution can improve the security of the Classical Internet; quantum computing can expedite and optimize computation-intensive tasks in the Classical Internet. The Quantum Internet will run in conjunction with the Classical Internet. The process of integrating the Quantum Internet with the Classical Internet is similar to, but with more profound implications, the process of introducing any new communication and networking paradigm into the existing Internet. The intent of this document is to provide a common understanding and framework of applications and application scenarios for the Quantum Internet.¶
This document represents the consensus of the Quantum Internet Research Group (QIRG). It has been reviewed extensively by Research Group (RG) members with expertise in both quantum physics and Classical Internet operation.¶
This document assumes that the reader is familiar with the quantum information technology related terms and concepts that are described in [I-D.irtf-qirg-principles]. In addition, the following terms and acronyms are defined herein for clarity:¶
The Quantum Internet is expected to be beneficial for a subset of existing and new applications. The expected applications for the Quantum Internet are still being developed as we are in the formative stages of the Quantum Internet [Castelvecchi] [Wehner]. However, an initial (and non-exhaustive) list of the applications to be supported on the Quantum Internet can be identified and classified using two different schemes. Note, this document does not include quantum computing applications that are purely local to a given node.¶
Applications may be grouped by the usage that they serve. Specifically, applications may be grouped according to the following categories:¶
This scheme can be easily understood by both a technical and non-technical audience. The next sections describe the scheme in more detail.¶
Examples of quantum cryptography applications include quantum-based secure communication setup and fast Byzantine negotiation.¶
The entanglement, superposition, interference, squeezing properties can enhance the sensitivity of the quantum sensors and eventually can outperform the classical strategies. Examples of quantum sensor applications include network clock synchronization, high sensitivity sensing, etc. These applications mainly leverage a network of entangled quantum sensors (i.e. quantum sensor networks) for high-precision multi-parameter estimation [Proctor].¶
In this section, we include the applications for the quantum computing. Note that, for the next couple of years we will have quantum computers as a cloud service. Sometimes, to run such applications in the cloud while preserving the privacy, a client and a server need to exchange qubits. Therefore, such privacy preserving quantum computing applications require a Quantum Internet to execute.¶
Examples of quantum computing include distributed quantum computing and secure quantum computing with privacy preservation, which can enable new types of cloud computing.¶
The Quantum Internet will support a variety of applications and deployment configurations. This section details a few key application scenarios which illustrates the benefits of the Quantum Internet. In system engineering, an application scenario is typically made up of a set of possible sequences of interactions between nodes and users in a particular environment and related to a particular goal. This will be the definition that we use in this section.¶
In this scenario, two banks (i.e., Bank #1 and Bank #2) need to have secure communications for transmitting important financial transaction records (see Figure 1). For this purpose, they first need to securely share a classic secret cryptographic key (i.e., a sequence of classical bits), which is triggered by an end-user banker at Bank #1. This results in a source quantum node A at Bank #1 to securely establish a classical secret key with a destination quantum node B at Bank #2. This is referred to as a secure communication setup. Note that the quantum node A and B may be either a bare-bone quantum end node or a full-fledged quantum computer. This application scenario shows that the Quantum Internet can be leveraged to improve the security of Classical Internet applications of which the financial application shown in Figure 1 is an example.¶
One requirement for this secure communication setup process is that it should not be vulnerable to any classical or quantum computing attack. This can be realized using QKD which is unbreakable in principle. QKD can securely establish a secret key between two quantum nodes, using a classical authentication channel and insecure quantum channel without physically transmitting the key through the network and thus achieving the required security. However, care must be taken to ensure that the QKD system is safe against physical side channel attacks which can compromise the system. An example of a physical side channel attack is to surreptitiously inject additional light into the optical devices used in QKD to learn side information about the system such as the polarization. Other specialized physical attacks against QKD also use a classical authentication channel and insecure quantum channel such as the phase-remapping attack, photon number splitting attack, and decoy state attack [Zhao2018]. QKD can be used for many other cryptographic communications, such as IPSec and Transport Layer Security (TLS) where involved parties need to establish a shared security key, although it usually introduces a high latency.¶
QKD is the most mature feature of the quantum information technology, and has been commercially released in small-scale and short-distance deployments. More QKD use cases are described in ETSI documents [ETSI-QKD-UseCases]; in addition, the ETSI document [ETSI-QKD-Interfaces] specifies interfaces between QKD users and QKD devices.¶
In general, the prepare and measure QKD protocols (e.g., [BB84]) without using entanglement work as follows:¶
It is worth noting that:¶
As a result, the Quantum Internet in Figure 1 contains quantum channels. And in order to support secure communication setup especially in large-scale deployment, it also requires entanglement generation and entanglement distribution [I-D.van-meter-qirg-quantum-connection-setup], quantum repeaters/routers, and/or trusted QKD relays.¶
Secure computation with privacy preservation refers to the following scenario:¶
As an example illustrated in Figure 2, a terminal node can be a small quantum computer with limited computation capability compared to a remote quantum computation node (e.g., a remote mainframe quantum computer), but the terminal node needs to run a computation-intensive task (e.g., Shor's factoring algorithm). The terminal node can create individual qubits and send them to the remote quantum computation node. Then, the remote quantum computation node can entangle the qubits, calculate on them, measure them, generate measurement results in classical bits, and return the measurement results to the terminal node. It is noted that those measurement results will look like purely random data to the remote quantum computation node because the initial states of the qubits were chosen in a cryptographically secure fashion.¶
As a new client/server computation model, BQC generally enables: 1) The client delegates a computation function to the server; 2) The client does not send original qubits to the server, but send transformed qubits to the server; 3) The computation function is performed at the server on the transformed qubits to generate temporary result qubits, which could be quantum-circuit-based computation or measurement-based quantum computation. The server sends the temporary result qubits to the client; 4) The client receives the temporary result qubits and transforms them to the final result qubits. During this process, the server can not figure out the original qubits from the transformed qubits. Also, it will not take too much efforts on the client side to transform the original qubits to the transformed qubits, or transform the temporary result qubits to the final result qubits. One of the very first BQC protocols such as [Childs] follows this process, although the client needs some basic quantum features such as quantum memory, qubit preparation and measurement, and qubit transmission. Measurement-based quantum computation is out of the scope of this document and more details about it can be found in [Jozsa2005].¶
It is worth noting that:¶
In Figure 2, the Quantum Internet contains quantum channels and quantum repeaters/routers for long-distance qubits transmission [I-D.irtf-qirg-principles].¶
There can be two types of distributed quantum computing [Denchev]:¶
As a scenario for the second type of distributed quantum computing, Noisy Intermediate-Scale Quantum (NISQ) computers distributed in different locations are available for sharing. According to the definition in [Preskill], a NISQ computer can only realize a small number of qubits and has limited quantum error correction. This scenario is referred to as distributed quantum computing [Caleffi] [Cacciapuoti2020] [Cacciapuoti2019]. This application scenario reflects the vastly increased computing power which quantum computers as a part of the Quantum Internet can bring, in contrast to classical computers in the Classical Internet, in the context of distributed quantum computing ecosystem [Cuomo]. According to [Cuomo], quantum teleportation enables a new communication paradigm, referred to as teledata [VanMeter2006-01], which moves quantum states among qubits to distributed quantum computers. In addition, distributed quantum computation also needs the capability of remotely performing quantum computation on qubits on distributed quantum computers, which can be enabled by the technique called telegate [VanMeter2006-02].¶
As an example, a user can leverage these connected NISQ computers to solve highly complex scientific computation problems, such as analysis of chemical interactions for medical drug development [Cao] (see Figure 3). In this case, qubits will be transmitted among connected quantum computers via quantum channels, while the user's execution requests are transmitted to these quantum computers via classical channels for coordination and control purpose. Another example of distributed quantum computing is secure Multi-Party Quantum Computation (MPQC) [Crepeau], which can be regarded as a quantum version of classical secure Multi-Party Computation (MPC). In a secure MPQC protocol, multiple participants jointly perform quantum computation on a set of input quantum states, which are prepared and provided by different participants. One of the primary aims of the secure MPQC is to guarantee that each participant will not know input quantum states provided by other participants. Secure MPQC relies on verifiable quantum secret sharing [Lipinska].¶
For the example shown in Figure 3, we want to move qubits from one NISQ computer to another NISQ computer. For this purpose, quantum teleportation can be leveraged to teleport sensitive data qubits from one quantum computer A to another quantum computer B. Note that Figure 3 does not cover measurement-based distributed quantum computing, where quantum teleportation may not be required. When quantum teleportation is employed, the following steps happen between A and B. In fact, LOCC [Chitambar] operations are conducted at the quantum computers A and B in order to achieve quantum teleportation as illustrated in Figure 3.¶
In Figure 3, the Quantum Internet contains quantum channels and quantum repeaters/routers [I-D.irtf-qirg-principles]. This application scenario needs to support entanglement generation and entanglement distribution (or quantum connection) setup [I-D.van-meter-qirg-quantum-connection-setup] in order to support quantum teleportation.¶
Quantum technologies are steadily evolving and improving. Therefore, it is hard to predict the timeline and future milestones of quantum technologies as pointed out in [Grumbling] for quantum computing. Currently, a NISQ computer can achieve fifty to hundreds of qubits with some given error rate.¶
On the network level, six stages of Quantum Internet development are described in [Wehner] as follows:¶
The first stage is simple trusted repeater networks, while the final stage is the quantum computing networks where the full-blown Quantum Internet will be achieved. Each intermediate stage brings with it new functionality, new applications, and new characteristics. Figure 4 illustrates Quantum Internet application scenarios as described in this document mapped to the Quantum Internet stages described in [Wehner]. For example, secure communication setup can be supported in Stage-1, Stage-2, or Stage-3, but with different QKD solutions. More specifically:¶
In Stage-1, basic QKD is possible and can be leveraged to support secure communication setup but trusted nodes are required to provide end-to-end security. The primary requirement is the trusted nodes.¶
In Stage-2, the end users can prepare and measure the qubits. In this stage, the users can verify classical passwords without revealing it.¶
In Stage-3, end-to-end security can be enabled based on quantum repeaters and entanglement distribution, to support the same secure communication setup application. The primary requirement is entanglement distribution to enable long-distance QKD.¶
In Stage-4, the quantum repeaters gain the capability of storing and manipulating entangled qubits in the quantum memories. Using these kind of quantum networks, one can run sophisticated applications like blind quantum computing, leader election, quantum secret sharing.¶
In Stage-5, quantum repeaters can perform error correction; hence they can perform fault-tolerant quantum computations on the received data. With the help of these repeaters, it is possible to run distributed quantum computing and quantum sensor applications over a smaller number of qubits.¶
Finally, in Stage-6, distributed quantum computing relying on more qubits can be supported.¶
Some general and functional requirements on the Quantum Internet from the networking perspective, based on the above application scenarios, are identified as follows:¶
This document provides an overview of some expected application categories for the Quantum Internet, and then details selected application scenarios. The applications are first grouped by their usage which is a natural and easy to understand classification scheme. This set of applications may, of course, naturally expand over time as the Quantum Internet matures. Finally, some general requirements for the Quantum Internet are also provided.¶
This document can also serve as an introductory text to readers interested in learning about the practical uses of the Quantum Internet. Finally, it is hoped that this document will help guide further research and development of the Quantum Internet functionality required to implement the application scenarios described herein.¶
This document requests no IANA actions.¶
This document does not define an architecture nor a specific protocol for the Quantum Internet. It focuses instead on detailing application scenarios, requirements, and describing typical Quantum Internet applications. However, some salient observations can be made regarding security of the Quantum Internet as follows.¶
It has been identified in [NISTIR8240] that once large-scale quantum computing becomes reality that it will be able to break many of the public-key (i.e., asymmetric) cryptosystems currently in use. This is because of the increase in computing ability with quantum computers for certain classes of problems (e.g., prime factorization, optimizations). This would negatively affect many of the security mechanisms currently in use on the Classical Internet which are based on public-key (Diffie-Hellman) encryption. This has given strong impetus for starting development of new cryptographic systems that are secure against quantum computing attacks [NISTIR8240].¶
Interestingly, development of the Quantum Internet will also mitigate the threats posed by quantum computing attacks against Diffie-Hellman based public-key cryptosystems. Specifically, the secure communication setup feature of the Quantum Internet as described in Section 4.1 will be strongly resistant to both classical and quantum computing attacks against Diffie-Hellman based public-key cryptosystems.¶
A key additional threat consideration for the Quantum Internet is pointed to by [RFC7258], which warns of the dangers of pervasive monitoring as a widespread attack on privacy. Pervasive monitoring is defined as a widespread, and usually covert, surveillance through intrusive gathering of application content or protocol metadata such as headers. This can be accomplished through active or passive wiretaps, traffic analysis, or subverting the cryptographic keys used to secure communications.¶
The secure communication setup feature of the Quantum Internet as described in Section 4.1 will be strongly resistant to pervasive monitoring based on directly attacking (Diffie-Hellman) encryption keys. Also, Section 4.2 describes a method to perform remote quantum computing while preserving the privacy of the source data. Finally, the intrinsic property of qubits to decohere if they are observed, albeit covertly, will theoretically allow detection of unwanted monitoring in some future solutions.¶
Modern networks are implemented with zero trust principles where classical cryptography is used for confidentiality, integrity protection, and authentication on many of the logical layers of the network stack, often all the way from device to software in the cloud [NISTSP800-207]. The cryptographic solutions in use today are based on well-understood primitives, provably secure protocols and state-of-the-art implementations that are secure against a variety of side-channel attacks.¶
In contrast to conventional cryptography and Post-Quantum Cryptography (PQC), the security of QKD is inherently tied to the physical layer, which makes the threat surfaces of QKD and conventional cryptography quite different. QKD implementations have already been subjected to publicized attacks [Zhao2008] and the National Security Agency (NSA) notes that the risk profile of conventional cryptography is better understood [NSA]. The fact that conventional cryptography and PQC are implemented at a higher layer than the physical one means PQC can be used to securely send protected information through untrusted relays. This is in stark contrast with QKD, which relies on hop-by-hop security between intermediate trusted nodes. The PQC approach is better aligned with the modern technology environment, in which more applications are moving toward end-to-end security and zero-trust principles. It is also important to note that while PQC can be deployed as a software update, QKD requires new hardware.¶
Regarding QKD implementation details, the NSA states that communication needs and security requirements physically conflict in QKD and that the engineering required to balance them has extremely low tolerance for error. While conventional cryptography can be implemented in hardware in some cases for performance or other reasons, QKD is inherently tied to hardware. The NSA points out that this makes QKD less flexible with regard to upgrades or security patches. As QKD is fundamentally a point-to-point protocol, the NSA also notes that QKD networks often require the use of trusted relays, which increases the security risk from insider threats.¶
The UK's National Cyber Security Centre cautions against reliance on QKD, especially in critical national infrastructure sectors, and suggests that PQC as standardized by the NIST is a better solution [NCSC]. Meanwhile, the National Cybersecurity Agency of France has decided that QKD could be considered as a defense-in-depth measure complementing conventional cryptography, as long as the cost incurred does not adversely affect the mitigation of current threats to IT systems [ANNSI].¶
The authors want to thank Michele Amoretti, Mathias Van Den Bossche, Xavier de Foy, Patrick Gelard, Alvaro Gomez Inesta, Wojciech Kozlowski, John Mattsson, Rodney Van Meter, Joey Salazar, and Joseph Touch, and the rest of the QIRG community as a whole for their very useful reviews and comments to the document.¶