Qubits 2021: Join the Conversation and Get Swag

There's a lot of hype around quantum computing, but Qubits 2021 is all about being relentlessly realistic. We are hyper-focused on real-world, practical quantum applications that leverage D-Wave's technology to solve complex, business-critical problems across a variety of industries today.
 
What relentlessly realistic quantum use cases are you working on or interested in learning more about? Let us know by commenting on this post and you'll be eligible for a free I <3 Qubits t-shirt.
 
At this year's Qubits conference, industry leaders will discuss quantum applications including:
 
  • Optimal deployment of green energy alternatives
  • Fraudulent transaction detection
  • Solving the last mile resupply problem
  • Designing peptide therapeutics with quantum hardware
  • Collision-free route planning of urban air mobility
  • Scaling farm to table grocery delivery
  • And much more!
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Comments

28 comments
  • Exciting news about D-Wave's plan to have an annealing+gate based playtform! I have some qwuestions if I may please:

    1) How do they envisage managing access control to the platforms? Or, will the users be free too chose which platform they want? For example, annealing for QUBO and gate-model for QAOA? Or is D-Wave also thinking of creating an orchestration layer which will automatically engage the users to the platform they should have given the algorithms they wish to deploy?

    2) Gate model itself has an unspoken scalability challenge (well more than one actually). One of them is the fact that today one is expected to define a separate circuit for each and every operation. This , at a large scale, is not something that users will be able to handle (think about legacy method of defining electronic circuits back in the 70's and computers of today). Is D-Wave thinking of an abstraction layer which will make a it a lot easier for the users to program quantum computers at a large scale than trying to think in terms of qubits and gates and circuits?

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  • An area of interest to relentlessly use the Q-computing is to optimise edge computing using quantum computers. These devices could be used to create edge-computing networks that operate more efficiently under extreme traffic loads. This would help move information move rapidly across the networks. The nodes may then operate at peer-to-peer level of quantum applications.

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  • Capacity planning/optimizing EV charging stations. This is one use case I am very interested in and annealing can be used to solve it since it is optimizing electricity across a network of charging stations. #relentlesslyrealistic

     
     
     
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  • Battery and electrical optimization is indeed a very exciting domain.

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  • https://support.dwavesys.com/hc/en-us/community/posts/4409201229463/comments/4410102621719

    Edge computing for QC will be especially important if and when we could get that sort of functionality to process data from quantum sensors, for example. Currently, modern optic is incapable of transporting quantum data through a long distances while retaining fidelity and coherence. Moving the QC capabilities closer to the edge will help ease the tasks of processing and classifying that data.

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  • Yes, in fact Quantum effects have been employed to transmit data instantly up to about 870 miles. So yes this would be great breakthrough 

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  • Matrix factorization is everywhere, but has an especially preeminent role in recommending systems. I'm eager to try out the new discrete constrained solver to see if it can give an edge here.

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  • Wish to see how Quantum Computing is playing to role in telecommunication and especially on 6G Radio Networks. How telcos are going to come up with Quantum-resilient algorithms to protect their networks.

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  • Interested in applying quantum annealing to find the optimal real-time solution to radio signal problems such as channel state estimation for multiple antenna based systems.

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  • Seeking to help identify how the promise of Quantum can help advance some of the 5G use cases that are inevitably coming (it is a matter of when and not if). I foresee Quantum as an important area to boost certain 5G uses cases while building unstoppable momentum for 6G infra. and use cases.

     

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  • We are interested in optimization techniques with applications in fraud detection, portfolio optimization, and customer experience among many more.

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  • Some work has been done on portfolio optimisation, risk analysis etc. utilizing quantum algorithms by like of Chicago Quantum

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  • Hi everyone

    Past optimization using D-Wave quantum computers:

    1. Portfolio Optimization example (https://arxiv.org/abs/2008.08669)

    2. COVID optimal lockdown schedule example (https://www.medrxiv.org/content/10.1101/2021.06.14.21258907v1)

    Currently working on :

    1. Factorization using reverse multiplication as a university project

    2. Inventory Optimization.

    3. VR gaming environment optimization using D-Wave in combination with NLP.

    The journey continues!

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  • Hi Alex, just FYI, the Portfolio Optimization link does not work, gives a 404 :-)

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  • Hi there, 

    Wonder if some quantum games were built with Quantum Annealing. 

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  • Hi,

    Optimizations that need to run very often.

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  • Hey, I'm interested in quantum crypto and AI.

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  • Hello All, 

    I am really interested in applying QC in lots of fields like Healthcare, Energy, Climate, Space exploration and more specifically for social good. I am sure, we will be able to understand more about QC and its implementation in coming years. 

    But if someone can point out the current QC implementations in the areas mentioned above it will be really helpful!

    Thank you, Joydeep

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  • Quantum Algorithms are essential for the fight against climate change. I found numerous examples where they are going to be used for energy optimization. However, it is extremely essential that we also use such powerful tools to predict the routes of underwater animals. Please refer to the amazing enlightening film A Plastic Ocean (2016). The immense problem of plastic pollution destroying the water ecosystem and also contaminating our food chain is extremely real and dangerous. Optimization algorithms will be able to predict from before the actual damage an empty packet of toothpaste for example will cause to the environment. Therefore instead of generating it as a waste, they should be directly redirected to the factors from where they came for recycling. This is similar to coca~cola glass bottles. This process will need to be optimized, eg in the extreme ideal world scenario of any product manufacturer having the option of taking back their product's waste will essentially create certain backchannels for the waste to directly flow. This logistic chain needs to be further reflected on the product cost; which will now include for this recycling mandate essentially employing more people and creating more optimization, and clustering problems.

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  • Hello everyone!

    I'm a Computer Scientist and Engineer, as well as a researcher from NOVA School of Science and Technology, NOVA University Lisbon, Portugal.

    I'm developing research on Quantum Cryptography, namely on an SQCKA (Semi-Quantum Conference Key Agreement). As we know, the QKDs (Quantum Key Distributions) are only suitable for bipartite scenarios in fully quantum contexts. Soon, the Quantum Internet will probably become a reality and it is urgent to develop useful applications for it. However, in the initial phase, the Quantum Computing systems and Quantum Resources will not be available to everyone.

    As a workable solution for this first problem was proposed another family of quantum cryptographic protocols, known as SQKDs (Semi-Quantum Key Distributions), which does not require that one of the two parties have quantum resources, thus, it can be only equipped with classical resources, being only allowed to measure and resend particles, or just reflect them as undisturbed.

    However, this first proposal can only address the problem of the cost and accessibility to quantum resources, and not the scalability problem of the QKDs.

    As another solution for the scalability issue of QKDs was proposed through the QCKAs (Quantum Conference Key Agreements), using multipartite entanglements, to allow the agreement of a common secret key between N parties.

    Our proposal appears as the combination of the best of the two worlds, by the development of a QCKA for semi-quantum contexts, namely a SQCKA, where only one party needs to be a quantum agent.

    Therefore, our solution addresses the issues of scalability, accessibility, and cost as a viable solution for the near future of quantum communications.

    We will propose the final prototype as being part of my Master's Thesis and will be available still this year!

    Thank you very much, and I will really hope for that quantum swag! :D

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  • Gate model computing is being used for QML. I would like to know how the Annealing model can be used for this.

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  • Hello Everyone!

    My name is Kiran, I'm studying Mechanical Engineering (Major) and Financial Engineering (specialization) at the Indian Institute of Technology Kharagpur.

    The pandemic (year 2020) has introduced me to something very interesting which is Quantum computing.  D-Wave was one of the first organization i got know about in relation to Quantum computing.I got to know about different types of Qubits i.e. photonic, Quantum annealing etc. I want to learn more related to  applications of Quantum computing in Finance, Machine Learning and Optimization.                 

    Thank you very much!

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  • Being new to quantum, I'm just looking for a simple use case for a quick start.  Long term, I'm interested in quantum for financial services use cases starting with fraud detection.

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  • Ankit K: https://support.dwavesys.com/hc/en-us/community/posts/4409201229463/comments/4410176045207

     

    Yes, D-Wave can be used and is used for many QML applications by real life corporations today. Deep Learning or Neural Networks is, at the end of the day, an optimization problem. And optimization is something that D-Wave platforms do very well today. Hence the potential best use cases of an environment which combines the powers of both annealing and gate-model QCs

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  • Hey Santanu! Do you know of some examples? Are there some tutorials using D-Wave platforms to accomplish ML tasks? Any papers? I would love to read about this! Thanks!

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  • Ankit K. : Besides the publications, there are examples of codes if you log into Leap and look at the tutorials and demos. Explanations of the algorithms can be found in D-Wave documentation. There are more code examples in their github: https://github.com/dwavesystems

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  • I am interested in using QPU to optimization problem in power system.

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