1QBit

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1QBit solves industry’s most demanding computational challenges by recasting problems to harness the power of advanced computing.

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Last post: Jul 22, 2021
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Site title: 1QBit - Redefining Intractable
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The Importance of Investing in People
Jul 22, 2021 · original
K aren Scanlan is the Director of People Operations at 1QBit. While working as an editor for a legal publication, she became interested in the employment side of human rights, which led her to an HR consulting firm. There, she learned the importance of hiring the best talent and then keeping that talent through engagement, development, and recognition. "I firmly believe that people want to do a good job, want to learn, and want to contribute. Our job is to find ways to make it as easy as possible to accomplish that at 1QBit." Beyond hiring employees, a People Operations team is crucial to humanizing a business and investing in each individual in a company. Recently, it has been a challenge for companies everywhere to maintain productivity while ensuring the well-being of employees during the COVID-19 pandemic. The People Operations team at 1QBit was instrumental in successfully transitio
Optimizing Logistics Using Quantum Computing
Jul 15, 2021 · original
T ransportation and delivery make up a significant portion of the cost of many products. As society’s demands become more complex and fast-paced, optimizing route logistics can result in huge savings for many companies. In recent years, researchers have been inspired by quantum computing to create better optimization algorithms now, and even better ones in the future as quantum technology matures. As the demands of these services continue to expand in scale and complexity, quantum and quantum-inspired computing can be the answer to solving logistical problems more efficiently. Route optimization is a systematic process of finding the most cost-effective, or efficient path that should be taken given a set of criteria. Two well-known examples of route optimization problems are the travelling salesperson problem (TSP), and the vehicle routing problem (VRP). In essence, the TSP asks the ques
Looking into the Future(s) with Options
Jul 8, 2021 · original
W hen deciding to buy, sell, or hold a particular investment, it can be tempting to simply look at the spot price or volume data and go from there. For those not acquainted with these terms, the spot price of an asset is the current price in the marketplace at which it can be bought or sold for immediate delivery. Volume data quantifies the number of shares traded and, for futures and options, it reveals how many contracts have changed hands. Futures and options are derivatives of an underlying instrument. A futures contract requires a buyer (seller) to receive (deliver) units of the instrument on a specific future date, assuming the holder’s position is not closed before the expiration date. An options contract gives the holder the right—with no obligation—to buy (or sell) units of the instrument at a specific price at any time, assuming the contract is in effect. Futures, options, and
A Bit or Two About Qubits
Jun 30, 2021 · original
C omputing comes down to harnessing physics in different ways in order to process information. The difference between classical computing and quantum computing is in manipulating bits versus quantum bits, also called qubits. Much like bits, the two levels of a qubit are labelled by 0 and 1. Examples of qubits include electron spin or the polarization of light. What are electron spin and light polarization? Spin is a quantum property of particles and can be thought of as an intrinsic angular momentum. Electron spin is what governs, for example, how otherwise identical electrons occupy energy levels around the nucleus of an atom, and why they do not all occupy the same energy level. That is why spin is partly responsible for why atoms are organized the way they are on the periodic table of the elements. Here, the point about spin is that electrons can either be in a spin-up or spin-down st
Inside the World of Artificial Intelligence & Machine Learning
Jun 24, 2021 · original
S imon Verret is a scientist at 1QBit, solving some of the most challenging problems in machine learning. He first heard about 1QBit during an event organized by the Institut Quantique, Université de Sherbrooke, where he completed his Ph.D. At the event, 1QBit CEO & Co-Founder Andrew Fursman discussed 1QBit’s vision of why Sherbrooke was chosen as a research hub. Simon has a shared interest in advanced computing, both classical and quantum, and knew that he wanted to work for 1QBit. "1QBit is involved in the latest advances in both quantum physics and deep learning which are my two fields of expertise. Outside of academia, it is typically very difficult to be able to work on fundamental aspects of just one of these advanced topics, let alone both." Almost a year later while working on his postdoc, Simon met Dominic Marchand, Head of Research and Partnerships at 1QBit. Dominic and Simon c
Visualizing Market Risk to Increase Return on Investment
Jun 17, 2021 · original
I t can be tempting to buy into markets that promise to bring large returns quickly. These get-rich-quick investments are increasing in popularity, but with the possibility of a large gain, there is also the possibility of a large loss. "Traditional methods of modelling risk can suffer from inaccuracies, which can be seen through two-peaked risk-return distributions found in West Texas Intermediate Crude Oil Futures. Using the MSM, these distributions can be modelled more accurately." Market risk is commonly modelled as a normal distribution of the expected returns for a financial instrument: The most likely outcome is at the peak, located in the middle of the distribution. The width of the curve on either side of the peak indicates the uncertainty or volatility of the market. Large volatility brings the possibility of making a lot of money, but also the risk of losing a lot of money. An
Gaining the Edge on Medical Imaging in Remote Communities
Jun 10, 2021 · original
1QBit earns second place at the ( Society for Imaging Informatics in Medicine ) SIIM Hackathon for the prototype of their pAI project. The prototype involved implementing XrAI on a Raspberry Pi—a small single-board computer developed with the intention of teaching basic computer science in schools and in developing countries. The demonstration is a great leap forward in providing greater accessibility to assisted medical imaging, and a powerful educational tool for underserved communities that lack internet access and financial or medical resources. I t is estimated that one billion radiologic examinations are performed every year worldwide, 1 and this number continues to grow. Since every medical image is due the best analysis possible, radiograph interpretation is a daunting yet critical task requiring a significant amount of time, resources, and expertise. Among radiographs, chest X-r
What Brains, Bits, and Quantum Physics Have in Common
Jun 3, 2021 · original
T he laws of physics are manifested everywhere in nature. Consider a flowing river: it obeys physical laws and, in effect, solves complex fluid dynamics equations as it flows from one point to another. The laws of physics are always at work, but are not being harnessed in a programmable way. A river, of course, is not considered to be a computer. A flowing river is governed by complex fluid dynamics. Flowing rivers and all other natural phenomena constantly obey the laws of physics, but only some types of physics are being harnessed in computation. Consider the following examples. “Computing comes down to different ways of processing information. The difference between digital and quantum computing is in manipulating bits versus qubits.” Three Ways Physics is Harnessed in Computation 1. Human Computation Humans are programmable: our brains operate by harnessing biophysical processes to r
Using AI and Social Media to Analyze the Economy
May 27, 2021 · original
W ith social media gaining popularity in the world of financial trading, there is interest in using the sentiment, or opinion, of many people automatically in algorithmic trading. For example: “Market sentiment analysis can be used as triggers for trades that can reduce drawdown and increase return on investment.” How do announcements and social media coverage surrounding major events like the COVID-19 pandemic, an election, a UN resolution, or perhaps all of the above affect financial markets? How might you filter through all the chatter on Twitter or Reddit and quantify the overall sentiment of traders when analyzing market trends or making investment decisions? Text sentiment analysis, or opinion mining, is a popular technique that uses artificial intelligence (AI) to try and answer questions like these. How does it work? Text sentiment analysis uses a machine learning framework calle
The State of Quantum Computing
May 20, 2021 · original
Quantum computers will transform our ability to resolve tough problems, such as drug discovery, and optimization problems. Once we have robust quantum computers, they will be the main tools in various R&D fields, and the building blocks of products. Q uantum computing has already had a deep impact on the computing industry by providing a different way to think about information processing. As quantum technology catches up with theory, the impact will only deepen. 1QBit researcher, Jessica Lemieux, started down the path of quantum computing with her decision to pursue her Ph.D. in Physics at the Université de Sherbrooke. Jessica’s research is on fault-tolerant quantum computing (FTQC), with the main focus being quantum algorithms. FTQC describes the event that an arbitrarily long quantum computation can be done without being overrun by errors, a crucial requirement for robust and practica

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