Quantum computing is a growing field where the information is processed by two-levels quantum states known as qubits. Current physical realizations of qubits require a careful calibration, composed by different experiments, due to noise and decoherence phenomena. Among the different characterization experiments, a crucial step is to develop a model to classify the measured state by discriminating the ground state from the excited state. In this proceedings we benchmark multiple classification techniques applied to real quantum devices.

My wife and I were recently driving in Virginia, amazed yet again that the GPS technology on our phones could guide us through a thicket of highways, around road accidents and toward our precise destination. The artificial intelligence (AI) behind the soothing voice telling us where to turn has replaced passenger-seat navigators, maps, even traffic updates on the radio. How on earth did we survive before this technology arrived in our lives? We survived, of course, but were quite literally lost some of the time. My reverie was interrupted by a toll booth. It was empty, as were all the other booths at this particular toll plaza.

My wife and I were recently driving in Virginia, amazed yet again that the GPS technology on our phones could guide us through a thicket of highways, around road accidents, and toward our precise destination. The artificial intelligence (AI) behind the soothing voice telling us where to turn has replaced passenger-seat navigators, maps, even traffic updates on the radio. How on earth did we survive before this technology arrived in our lives? We survived, of course, but were quite literally lost some of the time. My reverie was interrupted by a toll booth. It was empty, as were all the other booths at this particular toll plaza.

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My wife and I were recently driving in Virginia, amazed yet again that the GPS technology on our phones could guide us through a thicket of highways, around road accidents, and toward our precise destination. The artificial intelligence (AI) behind the soothing voice telling us where to turn has replaced passenger-seat navigators, maps, even traffic updates on the radio. How on earth did we survive before this technology arrived in our lives? We survived, of course, but were quite literally lost some of the time. My reverie was interrupted by a toll booth. It was empty, as were all the other booths at this particular toll plaza.

Way back in 1942 science fiction writer Isaac Asimov created the Three Laws of Robotics. They were written into a short story called "Runaround". Their influence on technological development has been significant and long lasting. Now, legal academic and AI expert Frank Pasquale has expanded that list. Building on Asimov's legacy, Professor Pasquale's four new laws of robotics are designed to ensure that the future development of artificial intelligence is done in the interest of humanity.

While AI is poised to disrupt our work and lives, these technologies can be harnessed through wise regulation. So rather than replacing individuals, much AI should assist them in completing tasks that are more fulfilling, or by augmenting work that is often classified as professional. "Artificial intelligence (AI) has a proper substitutive role – it can ensure that difficult, dirty and dangerous work is done more and more by machines and less and less by human beings," says Professor Frank Pasquale from Brooklyn Law School."But Should people be taking more courses like computer science or technical fields that will help them understand AI better? "Yes, but I don't think they should replace existing courses.

Artificial intelligence (AI), "big data," block-chain and edge computing are all ways of collecting, storing and analyzing information that, if leveraged effectively, have the potential to rapidly speed up progress in healthcare. AI, with its ability to discern patterns, correlations and trends in huge volumes of data, is among a swathe of new technologies that experts expect to have deep, revolutionary impacts across numerous sectors. Already, ophthalmologists have shown that AI algorithms can provide objective metrics, from simple photographs and optical coherence tomography (OCT), as well as quantify the amount of optic nerve damage in glaucoma. Given the speed at which AI is able to accurately work, many experts predict it will help alleviate time and resource pressures against the backdrop of an aging population – a particularly pertinent issue, given the shortage of ophthalmologists. Though research and integration of AI in healthcare is ongoing, it has the potential to transform a number of areas – including processing and analyzing biomedical, clinical and patient data; medical imaging and diagnostics; drug discovery; biomarker research; personal AI assistants; and genomics. There is also a wealth of AI research underway in retinal disease, notably the Moorfields and Deepmind collaboration – a project that is investigating the use of AI to read complex eye scans and detect more than 50 eye conditions, and identify patients who require urgent treatment. Anthony Khawaja, a Consultant Ophthalmologist at Moorfields Eye Hospital explains how the project came about.

Decades after Isaac Asimov first wrote his laws for robots, their ever-expanding role in our lives requires a radical new set of rules, legal and AI expert Frank Pasquale warned on Thursday. The world has changed since sci-fi author Asimov in 1942 wrote his three rules for robots, including that they should never harm humans, and today's omnipresent computers and algorithms demand up-to-date measures. According to Pasquale, author of "The Black Box Society: The Secret Algorithms Behind Money and Information", four new legally-inspired rules should be applied to robots and AI in our daily lives. "The first is that robots should complement rather than substitute for professionals" Pasquale told AFP on the sidelines of a robotics conference at the Vatican's Pontifical Academy of Sciences. "Rather than having a robot doctor, you should hope that you have a doctor who really understands how AI works and gets really good advice from AI, but ultimately it's a doctor's decision to decide what to do and what not to do." "The second is that we need to stop robotic arms races. There's a lot of people right now who are investing in war robots, military robots, policing robots."

Are you average in every way, or do you sometimes stand out from the crowd? Your answer might have big implications for how you're treated by the algorithms that governments and corporations are deploying to make important decisions affecting your life. "What algorithms?" you might ask. The ones that decide whether you get hired or fired, whether you're targeted for debt recovery and what news you see, for starters. Automated decisions made using statistical processes "will screw [some] people by default, because that's how statistics works," said Dr Julia Powles, an Australian lawyer currently based at New York University's Information Law Institute.