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What is quantum advantage? A quantum computing scientist explains an approaching milestone marking the arrival of extremely powerful computers

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What is quantum advantage? A quantum computing scientist explains an approaching milestone marking the arrival of extremely powerful computers

IBM's quantum computer got President Joe Biden's attention.
Mandel Ngan/AFP via Getty Images

Daniel Lidar, University of Southern California

Quantum advantage is the milestone the field of quantum computing is fervently working toward, where a quantum computer can solve problems that are beyond the reach of the most powerful non-quantum, or classical, computers.

Quantum refers to the scale of atoms and molecules where the laws of physics as we experience them break down and a different, counterintuitive set of laws apply. Quantum computers take advantage of these strange behaviors to solve problems.

There are some types of problems that are impractical for classical computers to solve, such as cracking -of-the-art encryption algorithms. Research in recent decades has shown that quantum computers have the potential to solve some of these problems. If a quantum computer can be built that actually does solve one of these problems, it will have demonstrated quantum advantage.

I am a physicist who studies quantum information processing and the control of quantum systems. I believe that this frontier of scientific and technological innovation not only promises groundbreaking advances in computation but also represents a broader surge in quantum technology, significant advancements in quantum cryptography and quantum sensing.

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The source of quantum computing's power

Central to quantum computing is the quantum bit, or qubit. Unlike classical bits, which can only be in states of 0 or 1, a qubit can be in any state that is some combination of 0 and 1. This state of neither just 1 or just 0 is known as a quantum superposition. With every additional qubit, the number of states that can be represented by the qubits doubles.

This property is often mistaken for the source of the power of quantum computing. Instead, it down to an intricate interplay of superposition, interference and entanglement.

Interference involves manipulating qubits so that their states combine constructively during computations to amplify correct and destructively to suppress the wrong answers. Constructive interference is what happens when the peaks of two waves – like sound waves or ocean waves – combine to create a higher peak. Destructive interference is what happens when a wave peak and a wave trough combine and cancel each other out. Quantum algorithms, which are few and difficult to devise, set up a sequence of interference patterns that yield the correct answer to a problem.

Entanglement establishes a uniquely quantum correlation between qubits: The state of one cannot be described independently of the others, no matter how far apart the qubits are. This is what Albert Einstein famously dismissed as “spooky action at a distance.” Entanglement's collective behavior, orchestrated through a quantum computer, enables computational speed-ups that are beyond the reach of classical computers.

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The ones and zeros – and everything in between – of quantum computing.

Applications of quantum computing

Quantum computing has a range of potential uses where it can outperform classical computers. In cryptography, quantum computers pose both an and a challenge. Most famously, they have the potential to decipher current encryption algorithms, such as the widely used RSA scheme.

One consequence of this is that 's encryption protocols need to be reengineered to be resistant to future quantum attacks. This recognition has led to the burgeoning field of post-quantum cryptography. After a long , the National Institute of Standards and Technology recently selected four quantum-resistant algorithms and has begun the process of readying them so that around the world can use them in their encryption technology.

In addition, quantum computing can dramatically speed up quantum simulation: the ability to predict the outcome of experiments operating in the quantum realm. Famed physicist Richard Feynman envisioned this possibility more than 40 years ago. Quantum simulation offers the potential for considerable advancements in chemistry and materials science, aiding in areas such as the intricate modeling of molecular structures for drug discovery and enabling the discovery or creation of materials with novel properties.

Another use of quantum information technology is quantum sensing: detecting and measuring physical properties like electromagnetic energy, gravity, pressure and temperature with greater sensitivity and precision than non-quantum instruments. Quantum sensing has myriad applications in fields such as environmental monitoring, geological exploration, medical imaging and surveillance.

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Initiatives such as the development of a quantum internet that interconnects quantum computers are crucial steps toward bridging the quantum and classical computing worlds. This network could be secured using quantum cryptographic protocols such as quantum key distribution, which enables ultra-secure communication channels that are protected against computational attacks – including those using quantum computers.

Despite a growing application suite for quantum computing, developing new algorithms that make full use of the quantum advantage – in particular in machine learning – remains a critical area of ongoing research.

a metal apparatus with green laser light in the background
A prototype quantum sensor developed by MIT researchers can detect any frequency of electromagnetic waves.
Guoqing Wang, CC BY-NC-ND

Staying coherent and overcoming errors

The quantum computing field faces significant hurdles in hardware and software development. Quantum computers are highly sensitive to any unintentional interactions with their environments. This to the phenomenon of decoherence, where qubits rapidly degrade to the 0 or 1 states of classical bits.

Building large-scale quantum computing systems capable of delivering on the promise of quantum speed-ups requires overcoming decoherence. The key is developing effective methods of suppressing and correcting quantum errors, an area my own research is focused on.

In navigating these challenges, numerous quantum hardware and software startups have emerged alongside well-established technology industry players like Google and IBM. This industry interest, combined with significant investment from governments worldwide, underscores a collective recognition of quantum technology's transformative potential. These initiatives foster a rich ecosystem where academia and industry collaborate, accelerating progress in the field.

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Quantum advantage coming into view

Quantum computing may one day be as disruptive as the arrival of generative AI. Currently, the development of quantum computing technology is at a crucial juncture. On the one hand, the field has already shown early signs of achieved a narrowly specialized quantum advantage. Researchers at Google and later a team of researchers in China demonstrated quantum advantage for generating a list of random numbers with certain properties. My research team demonstrated a quantum speed-up for a random number guessing game.

On the other hand, there is a tangible risk of entering a “quantum winter,” a period of reduced investment if practical results fail to materialize in the near term.

While the technology industry is working to deliver quantum advantage in products and services in the near term, academic research remains focused on investigating the fundamental principles underpinning this new science and technology. This ongoing basic research, fueled by enthusiastic cadres of new and bright students of the type I encounter almost every day, ensures that the field will continue to progress.The Conversation

Daniel Lidar, Professor of Electrical Engineering, Chemistry, and Physics & Astronomy, University of Southern California

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Teens see social media algorithms as accurate reflections of themselves, study finds

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theconversation.com – Nora McDonald, Assistant Professor of Information Technology, George Mason – 2024-04-29 07:26:15

say ‘for you' algorithms get them right.

Photo illustration by Spencer Platt/Getty Images

Nora McDonald, George Mason University

Social apps regularly present teens with algorithmically selected content often described as “for you,” suggesting, by implication, that the curated content is not just “for you” but also “about you” – a mirror reflecting important about the person you are.

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All users of social media are exposed to these signals, but researchers understand that teens are at an especially malleable stage in the formation of personal identity. Scholars have begun to demonstrate that technology is having generation-shaping effects, not merely in the way it influences cultural outlook, behavior and privacy, but also in the way it can shape personality among those brought up on social media.

The prevalence of the “for you” message raises important questions about the impact of these algorithms on how teens perceive themselves and see the world, and the subtle erosion of their privacy, which they accept in exchange for this view.

Teens like their algorithmic reflection

Inspired by these questions, my colleagues John Seberger and Afsaneh Razi of Drexel University and I asked: How are teens navigating this algorithmically generated milieu, and how do they recognize themselves in the mirror it presents?

In our qualitative interview study of teens 13-17, we found that personalized algorithmic content does seem to present what teens interpret as a reliable mirror image of themselves, and that they very much like the experience of seeing that social media reflection.

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Teens we spoke with say they prefer a social media completely customized for them, depicting what they agree with, what they want to see and, thus, who they are.

If I look up something that is important to me that will show up as one of the top posts [and] it'll show, like, people [like me] that are having a nice discussion.

It turns out that the teens we interviewed believe social media algorithms like TikTok's have gotten so good that they see the reflections of themselves in social media as quite accurate. So much so that teens are quick to attribute content inconsistencies with their self-image as anomalies – for instance, the result of inadvertent engagement with past content, or just a glitch.

At some point I saw something about that show, maybe on TikTok, and I interacted with it without actually realizing.

When personalized content is not agreeable or consistent with their self-image, the teens we interviewed say they scroll past it, hoping never to see it again. Even when these perceived anomalies take the form of extreme hypermasculine or “nasty” content, teens do not attribute this to anything about themselves specifically, nor do they claim to look for an explanation in their own behaviors. According to teens in our interviews, the social media mirror does not make them more self-reflective or their sense of self.

One thing that surprised us was that while teens were aware that what they see in their “for you” feed is the product of their scrolling habits on social media platforms, they are largely unaware or unconcerned that that data captured across apps contributes to this self-image. Regardless, they don't see their “for you” feed as a challenge to their sense of self, much less a risk to their self-identity – nor, for that matter, any basis for concern at all.

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The human brain continues to develop during adolescence.

Shaping identity

Research on identity has come a long way since sociologist Erving Goffman proposed the “presentation of self” in 1959. He posited that people manage their identities through social performance to maintain equilibrium between who they think they are and how others perceive them.

When Goffman first proposed his theory, there was no social media interface available to hold up a handy mirror of the self as experienced by others. People were obligated to create their own mosaic image, derived from multiple sources, encounters and impressions. In recent years, social media recommender algorithms have inserted themselves into what is now a three-way negotiation among self, public and social media algorithm.

“For you” offerings create a private-public through which teens can access what they feel is a largely accurate test of their self-image. At the same time, they say they can easily ignore it if it seems to disagree with that self-image.

The pact teens make with social media, exchanging personal data and relinquishing privacy to secure access to that algorithmic mirror, feels to them like a good bargain. They represent themselves as confidently able to tune out or scroll past recommended content that seems to contradict their sense of self, but research shows otherwise.

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They have, in fact, proven themselves highly vulnerable to self-image distortion and other mental health problems based on social media algorithms explicitly designed to create and reward hypersensitivities, fixations and dysmorphia – a mental disorder where people fixate on their appearance.

Given what researchers know about the teen brain and that stage of social development – and given what can reasonably be surmised about the malleability of self-image based on social feedback – teens are wrong to believe that they can scroll past the self-identity risks of algorithms.

U.S. Surgeon General Vivek Murthy discusses the harms teens face from social media.

Interventions

Part of the remedy could be to build new tools using artificial intelligence to detect unsafe interactions while also protecting privacy. Another approach is to teens reflect on these “data doubles” that they have constructed.

My colleagues and I are now exploring more deeply how teens experience algorithmic content and what types of interventions can help them reflect on it. We encourage researchers in our field to design ways to challenge the accuracy of algorithms and expose them as reflecting behavior and not being. Another part of the remedy may involve arming teens with tools to restrict access to their data, including limiting cookies, having different search profiles and turning off location when using certain apps.

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We believe that these are all steps that are likely to reduce the accuracy of algorithms, creating much-needed friction between algorithm and self, even if teens are not necessarily happy with the results.

Getting the kids involved

Recently, my colleagues and I conducted a Gen Z workshop with young people from Encode Justice, a global organization of high school and college advocating for safe and equitable AI. The aim was to better understand how they are thinking about their lives under algorithms and AI. Gen Zers say they are concerned but also eager to be involved in shaping their future, including mitigating algorithm harms. Part of our workshop goal was to call attention to and foster the need for teen-driven investigations of algorithms and their effects.

What researchers are also confronting is that we don't actually know what it means to constantly negotiate identity with an algorithm. Many of us who study teens are too old to have grown up in an algorithmically moderated world. For the teens we study, there is no “before AI.”

I believe that it's perilous to ignore what algorithms are doing. The future for teens can be one in which society acknowledges the unique relationship between teens and social media. This means involving them in the , while still providing guidance.The Conversation

Nora McDonald, Assistant Professor of Information Technology, George Mason University

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This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Why are some people faster than others? 2 exercise scientists explain the secrets of running speed

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theconversation.com – Dawn P. Coe, Associate Professor of Exercise Science, of Tennessee – 2024-04-29 07:23:48

Jamaican sprinter Usain Bolt, in yellow, holds the world's speed record for humans.

AP Photo/David J. Phillip

Dawn P. Coe, University of Tennessee and Elizabeth (Kip) Webster, University of Tennessee

Curious Kids is a for of all ages. If you have a question you'd like an expert to answer, send it to curiouskidsus@theconversation.com.

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Why are some people faster than others? – Jon, age 14, Macon, Georgia


Usain Bolt, the world's fastest human, ran a 100-meter sprint at a speed of 23.35 miles per hour (37.57 kilometers per hour).

That's mind-blowingly fast for a human. It's about the same speed as cruising in a car through your neighborhood or in a school zone. It might not seem that fast when you're in the car, but for a person? Few runners in the world can even come close.

There are several reasons why some people can run very fast while others tend to run more slowly. Genetics – the traits you inherit from your play a role, but so do your choices and experiences.

As pediatric exercise scientists, we create and evaluate programs that children be healthy. The exciting is that while you have no control over your genetics, you can train to improve your speed.

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Fast twitch, slow twitch

One major factor that influences your ability to run fast is the structure of your body, how your muscles work.

The human body has more than 600 muscles that work together, allowing you to move in different directions and at various speeds. These muscles are made up of groups of fibers. There are two main types: fast twitch and slow twitch.

Muscles have different mixes of these fiber types. For example, two muscles make up the calf: One is predominantly fast twitch – that's the gastrocnemius, used for sprinting and jumping. The other is mostly slow twitch – that's the soleus, used for walking and jogging.

Two women play soccer, one is in motion, clearly sprinting to kick the ball.

Speed and endurance are both important when you're playing soccer.

AP Photo/John Cowpland

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Fast-twitch muscle fibers are larger and help your body move quickly and generate significant force. Sprinters tend to have an abundance of fast-twitch muscle fibers. However, this muscle fiber type also tires quickly, which limits how long you can run at top speed to relatively short distances.

Slow-twitch muscle fibers are smaller and help you run at slower speeds, but with greater endurance. Long-distance runners and competitive cyclists tend to have a lot of these muscles.

How much you have of each type of muscle fiber – fast twitch and slow twitch – is mostly determined by your genes, so you'll have to work with what you're born with when it to muscle types. But exercises can help train those muscles.

Your brain plays a big role

Physical ability isn't just about muscle. Your brain plays an important role, too.

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Your skeletal muscles are controlled by your brain – you think about your actions and then execute the movements. For example, you can control how long your stride is, how your arms move, how your feet hit the ground and even the techniques you use to breathe.

You can teach your body to use the best running techniques. That includes proper posture, so your body is standing tall, and an economical stride, so your feet land below you rather than too far out in front, where they can slow you down.

Five tips for running faster, from an Olympic sprinting coach.

You can also improve your running form by using your whole body, with your arms pumping in opposition to the legs, running on your toes and maximizing the time spent in flight phase with both feet off the ground. Using proper running techniques helps the muscles create more force and work together, which helps you run faster.

The more you practice an activity, the better you will get. As your ability to run fast increases, yourself to run even faster.

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How to train to run faster – myth-busting!

You may have heard your friends chatting about ways to boost your speed or searched the internet for tips on getting faster. Time to bust some of those myths.

Myth 1: You have to run as fast as you can to train to be faster. That's false!

You don't have to run as fast as you can to get faster, and it actually helps to take short breaks to recover in between activities where you are sprinting.

Myth 2: You need to lift heavy weights to get faster. False!

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Functional strength training involves performing exercises that help you get better at specific movements. They involve using either medium weights or just the resistance of your own body weight. Doing planks, lunges, step-ups or jump squats are great examples. These activities focus on the muscles that are instrumental during running.

Myth 3: You need to specialize in running early in life to become a fast runner. False!

Picking one activity to focus on early in life may actually limit your ability to develop into a fast runner. Doing a variety of physical activities can help you develop new skills that improve your running. For example, the movements and endurance used in soccer may translate into the ability to run faster.

Myth 4: Training isn't fun. False!

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Training programs can take many shapes and forms. You can play running with your friends, work on fast footwork using an agility ladder or create obstacle courses. There's nothing like a little healthy competition to motivate your training.

What's important is having fun while training and participating in

activities that promote running speed on a regular basis.

So, whether you want to be the next Usain Bolt or you just want to win a race against your friend, remember that with a little bit of genetic luck and hard work, it may just be possible.The Conversation

Dawn P. Coe, Associate Professor of Exercise Science, University of Tennessee and Elizabeth (Kip) Webster, Associate Professor of Exercise Science, University of Tennessee

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Ghosted, orbited, breadcrumbed? A psychotherapist breaks down some perils of digital dating and how to cope

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theconversation.com – Danielle Sukenik, Instructor of Psychiatry, of Colorado Anschutz Medical Campus – 2024-04-29 07:22:52

About a third of U.S. adults have looked for love online.

Maria Korneeva/Moment via Getty Images

Danielle Sukenik, University of Colorado Anschutz Medical Campus

Buzzwords describing the digital dating scene are all over social . Have you been ghosted? Is someone orbiting you? Are you being breadcrumbed? While these dating patterns may not be new, the words to describe them continue to evolve.

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As a psychotherapist, I see firsthand the impact these experiences can have on mental . Given the sheer number of people using dating apps – 53% of American 18-to-29-year-olds and 37% of 30-to-49-year-olds – it's likely you have some first- or secondhand exposure to this world.

If you're curious about the latest psychological research on digital dating – and are looking for evidence-based strategies to cope – read on.

Ghosting and orbiting

Ghosting is a sudden disruption in a relationship without any explanation. The “ghoster” vanishes suddenly, often leaving the other person with questions. And orbiting? That's when someone ghosts but continues to follow the other person on social media by watching stories or occasionally engaging in their content. These behaviors are pretty common, and you might wonder about their impact.

A 2022 study the psychological consequences of being ghosted, orbited or rejected by asking 176 participants about one randomly assigned breakup strategy they had experienced out of these three. Then, participants completed a questionnaire rating various feelings about their breakup.

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While feelings of rejection did not differ between the three breakup strategies – the end of a relationship hurts regardless – the results showed that ghosting led to stronger feelings of exclusion than being rejected outright. People in the ghosting category were also more likely to feel that their basic needs of belonging, self-esteem and control were threatened.

Being orbited, on the other hand, seemed to buffer victims partially from the emotional consequences of a breakup. Victims of orbiting, too, reported feeling higher levels of exclusion and threat to their basic needs than those who were rejected outright, but less than victims of ghosting did. Perhaps sporadic attention softens feelings of exclusion.

These findings are in line with other research. Understanding a breakup is important and helps individuals recover from the . With no explanation, the rejected individual may be left feeling confused and uncertain, sometimes with unhealed psychological wounds.

Orbiting may cause further ambiguity, as the orbiter's behavior suggests a mild residual interest in the other person. An individual might wonder if the other person is still attracted or might want to return to the relationship. For some people, this uncertainty can be harmful, while others find it easier to let go of a relationship if they're still receiving some level of digital attention.

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A pair of studies in 2004 and 2005 showed people prefer receiving negative attention over being ignored entirely. In these role-playing experiments, those who experienced ostracism reported lower levels of belonging, control, meaningful existence and superiority than those who experienced an argument.

Sad woman reading her smart phone.

Being toyed with by a potential partner is especially damaging.

MementoJpeg/Moment/via Getty Images

Breadcrumbing

Breadcrumbing is when someone drops morsels of flirtatious attention to keep the other person interested, even though they have no intention of participating in a relationship. Some classic signs of breadcrumbing are not responding to messages for long periods of time, vague communication, and avoidance of discussions related to feelings. These patterns tend to boost the breadcrumber's ego, self-worth and sense of power.

For the person being breadcrumbed, it's a different story. A 2020 study of 626 adults found victims of breadcrumbing were significantly more likely to have feelings of loneliness, helplessness and less life satisfaction than victims of ghosting. Because people on the receiving end of breadcrumbing remain in limbo longer, they experience repeated feelings of exclusion and ostracism. The ongoing nature of breadcrumbing explains why it can have more negative effects on mental health.

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Taking care of yourself

Given the prevalence of these behaviors, it's likely you've employed some of these dating tactics yourself. If so, I invite you to be mindful and think about how these patterns are serving you and consider your impact on others.

If you're also on the receiving end, here are some evidence-based strategies you can use to yourself and maintain a positive outlook about the dating scene.

Any time you have an experience, your mind is quick to create a narrative around what happened in order to make sense of it and create an illusion of control or safety. If you're not aware of the stories you tell yourself, you may find yourself incorrectly assigning blame or fault, which can to negative self-talk, anxiety and depression.

For example, rather than think, “I did something wrong to cause them to ghost me,” you could think, “Their to disengage from the relationship is more about them and how they relate to others than it is about me.” Being mindful of your cognitive patterns and practicing changing your narratives can keep online dating from wreaking havoc on your psyche.

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Group of young people planting trees.

Living your values can have many .

miodrag ignjatovic/E+/via Getty Images

It's also crucial to take inventory of what's most important to you. Identifying your values will not only allow you to better match with like-minded people, but it will also improve your relationship with yourself. When your life aligns with what's important to you, you increase its meaning, purpose and overall well-being. In living this way, you might find looking for a relationship is less urgent, which could help you to better spot red flags or mismatches.

I also recommend varying the ways you connect to others to mitigate burnout. A healthy mix of apps and meeting people “in the wild” will often yield the best outcome and allow the dating adventure to remain exciting.The Conversation

Danielle Sukenik, Instructor of Psychiatry, University of Colorado Anschutz Medical Campus

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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